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INFORMATION AND COMMUNICATION TECHNOLOGIES IN BUSINESS AND EDUCATION Cover Image

ИНФОРМАЦИОННИ И КОМУНИКАЦИОННИ ТЕХНОГИИ В БИЗНЕСА И ОБРАЗОВАНИЕТО
INFORMATION AND COMMUNICATION TECHNOLOGIES IN BUSINESS AND EDUCATION

Contributor(s): Julian A. Vasilev (Editor), Vladimir Sulov (Editor), Snezhana Sulova (Editor), Silvia Parusheva (Editor), Pavel Petrov (Editor), Pavel S. Petrov (Editor), Ivan Kuyumdzhiev (Editor), Ivan Ognyanov Kuyumdzhiev (Editor), Yanka Aleksandrova (Editor), Bonimir Penchev (Editor), Boris Bankov (Editor), Latinka Todoranova (Editor), Mariya Armyanova (Editor), Miglena Stoyanova (Editor), Mihail Radev (Editor), Olga Marinova (Editor), Radka Valerieva Nacheva (Editor), Stoycho Stoev (Editor)
Subject(s): Economy, Business Economy / Management, Micro-Economics, Accounting - Business Administration, Marketing / Advertising, Human Resources in Economy, ICT Information and Communications Technologies, Business Ethics, Transport / Logistics, Green Transformation
Published by: Икономически университет - Варна
Keywords: informatics; economics; business
Summary/Abstract: These proceedings contain the papers of the International Conference “Information and Communication Technologies in Business and Education” which took place at the University of Economics – Varna, Bulgaria, 18 October 2024.The international scientific conference is dedicated to the 55th anniversary of the Department of Informatics at the University of Economics – Varna. The included papers describe recent scientific and practical developments in the field of information and communication technologies, information systems, and their applications in business and education.

  • E-ISBN-13: 978-954-21-1184-9
  • Page Count: 270
  • Publication Year: 2024
  • Language: English, Bulgarian
IMPLEMENTATION OF DIGITAL TRANSFORMATION OF ENTERPRISES BASED ON APPLICATION INTEGRATION

IMPLEMENTATION OF DIGITAL TRANSFORMATION OF ENTERPRISES BASED ON APPLICATION INTEGRATION
(IMPLEMENTATION OF DIGITAL TRANSFORMATION OF ENTERPRISES BASED ON APPLICATION INTEGRATION)

  • Author(s):Krasimir Shishmanov, Kremena Marinova
  • Language:English
  • Subject(s):Economy, Business Economy / Management, Micro-Economics, ICT Information and Communications Technologies
  • Page Range:14-18
  • No. of Pages:5
  • Keywords:digital transformation of business; application integration; system integration; corporate information systems
  • Summary/Abstract:Digital transformation is the process by which enterprises revise and adapt their business models to handle changing market conditions and technological advances. Application integration plays a key role in this process, allowing companies to optimize their operations, improve interactions with their customers and partners, and generally increase their efficiency.The implementation of digital transformation in enterprises raises some questions: from where to start, what are the main objects, what principles should be taken into account and, perhaps most importantly, what methodology should be followed. The answer to these questions is not unequivocal, but the emphasis should be placed on the corporate information system used to manage the main activities of the enterprise and its specific production structures.
THE BRIGHT AND THE DARK SIDE OF TESCREAL IDEOLOGY

THE BRIGHT AND THE DARK SIDE OF TESCREAL IDEOLOGY
(THE BRIGHT AND THE DARK SIDE OF TESCREAL IDEOLOGY)

  • Author(s):Natalia Marinova
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:19-24
  • No. of Pages:6
  • Keywords:TESCREAL; Artificial General Intelligence Systems
  • Summary/Abstract:The paper is dedicated to a package of seven successive ideologies that have emerged in the last 35 years, united under the circulating on the Web neologistic acronym TESCREAL. Over the past two years, this label has been used to designate the ideas of some of the richest, smartest and most prominent technological leaders to improve human life through technologies inspired by several overlapping futuristic philosophies related to Transhumanism and Longtermism. Proponents of a techno-utopian TESCREALism vision of the future of humanity believe that building super-intelligent Artificial General Intelligence Systems will lead to the creation of radically improved and even immortal humans colonizing the Universe, while TESCREALists sceptics bring to the fore the existential danger of Artificial General Intelligence Systems turning and destroying against their creators.
МЕТОДИ И ТЕХНИКИ ЗА ПОДОБРЯВАНЕ НА РЕЗУЛТАТИТЕ ПРИ КОМПЮТЪРНА ОБРАБОТКА НА ТЕКСТ

МЕТОДИ И ТЕХНИКИ ЗА ПОДОБРЯВАНЕ НА РЕЗУЛТАТИТЕ ПРИ КОМПЮТЪРНА ОБРАБОТКА НА ТЕКСТ
(METHODS AND TECHNIQUES FOR IMPROVING RESULTS IN NATURAL LANGUAGE PROCESSING)

  • Author(s):Snezhana Sulova
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:25-30
  • No. of Pages:6
  • Keywords:natural language processing; text preprocessing; language models
  • Summary/Abstract:Natural language processing is an area of artificial intelligence that can be used in many tasks related to the analysis and understanding of text. Nowadays, despite the advancement of technology, understanding the context correctly is still a troublesome task. Precision in natural language processing and analysis is a key factor in accurately understanding and interpreting the meaning of texts. The paper summarizes and analyzes modern methods and techniques that can be used to improve the understanding of context in texts. The main focus is on techniques for enriching training data and improving text preprocessing, transformers and other types of models for solving specific tasks related to text processing. Recommendations are given for improvement, both for specific tasks and generally for improving the text processing operations.
ГЕОКОДИРАЩА СИСТЕМА P4

ГЕОКОДИРАЩА СИСТЕМА P4
(GEOCODING SYSTEM P4)

  • Author(s):Pavel Petrov, Stefka Petrova
  • Language:Bulgarian
  • Subject(s):Economy, Geography, Regional studies, Geomatics, Maps / Cartography, ICT Information and Communications Technologies
  • Page Range:31-36
  • No. of Pages:6
  • Keywords:geocoding; P4; OLC/PC; maps; addresses
  • Summary/Abstract:The P4 system, proposed in the study, is a new method of geocoding that aims to address some of the disadvantages of earlier systems. This system employs rectangular cells that are assigned an alphanumeric number whose length is determined by the cell's level of subdivision (i.e., cell dimensions). All cells within the same subdivision level have the same area. Special attention is paid to the polar regions, which are covered by two special cells. The system offers different levels of accuracy and can be used as a substitute for traditional geographic data such as street addresses or postal codes.
НЯКОИ РЕЗУЛТАТИ ОТ ТЕСТОВЕ ЗА РАЗБИРАНЕ НА КОД В ОБУЧЕНИЕТО ПО ПРОГРАМИРАНЕ

НЯКОИ РЕЗУЛТАТИ ОТ ТЕСТОВЕ ЗА РАЗБИРАНЕ НА КОД В ОБУЧЕНИЕТО ПО ПРОГРАМИРАНЕ
(SOME RESULTS FROM CODE COMPREHENSION TESTS IN COMPUTER PROGRAMMING CLASSES)

  • Author(s):Vladimir Sulov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:37-41
  • No. of Pages:5
  • Keywords:computer programming education; tests; students’ success rate
  • Summary/Abstract:The classes that introduce university students to computer programming are present in the curricula of almost every graduate program in the sphere of informatics and computer science. This paper presents and discusses some results from author’s tests of different students studying different programming languages in similar introduction to programming classes. The results could facilitate better understanding of the typical difficulties that students have in such classes.
THE USE OF MYGPT FOR CREATING AGGREGATED REPORTS IN SPECIFIC REPORT TEMPLATES USING DATA FROM PERSONALISED INTERVIEWS

THE USE OF MYGPT FOR CREATING AGGREGATED REPORTS IN SPECIFIC REPORT TEMPLATES USING DATA FROM PERSONALISED INTERVIEWS
(THE USE OF MYGPT FOR CREATING AGGREGATED REPORTS IN SPECIFIC REPORT TEMPLATES USING DATA FROM PERSONALISED INTERVIEWS)

  • Author(s):Julian A. Vasilev
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:42-46
  • No. of Pages:5
  • Keywords:MyGPT; document templates; personalized interviews
  • Summary/Abstract:This study explores the use of MyGPT, an AI-based language model, for generating aggregated reports in specific report templates using data from personalized interviews. The focus is on how MyGPT can auto-mate report generation, ensuring consistency, accuracy, and efficiency. The research involved developing a framework that integrates MyGPT with interview data processing pipelines. Results show that MyGPT signif-icantly reduces the time required for report generation while maintaining high standards of content quality. A case study is presented to demonstrate the practical application of the framework in a real-world scenario. The paper discusses the implications of these findings and suggests directions for further research.
РОЛЯТА НА МИКРОКВАЛИФИКАЦИИТЕ В РАЗВИТИЕТО НА ДИГИТАЛНИТЕ УМЕНИЯ НА СТУДЕНТИТЕ

РОЛЯТА НА МИКРОКВАЛИФИКАЦИИТЕ В РАЗВИТИЕТО НА ДИГИТАЛНИТЕ УМЕНИЯ НА СТУДЕНТИТЕ
(THE ROLE OF MICRO-CREDENTIALS IN DEVELOPING STUDENTS' DIGITAL SKILLS)

  • Author(s):Petya Strashimirova, Silvia Parusheva
  • Language:Bulgarian
  • Subject(s):Social Sciences, Education, State/Government and Education
  • Page Range:47-55
  • No. of Pages:9
  • Keywords:micro-credentials; digital learnin; skills; competencies; online courses; professional development
  • Summary/Abstract:The report analyzes the significance of micro-credentials in enhancing students' digital skills. As short-term training programs, micro-credentials provide specific knowledge and skills, which are especially valuable for the quick adaptation of learners to the labor market. They offer a convenient form of online learning, enabling students to acquire new competencies in their free time. Their main advantages are flexibility, accessibility, and focus on specific professional needs, making them effective for career development. The report addresses key issues related to the application of micro-credentials for developing learners' knowledge, skills, and competencies
DEVELOPMENT OF A CROSS-PLATFORM APPLICATION WITH THE NOSQL FIREBASE DATABASE AND THE IONIC FRAMEWORK

DEVELOPMENT OF A CROSS-PLATFORM APPLICATION WITH THE NOSQL FIREBASE DATABASE AND THE IONIC FRAMEWORK
(DEVELOPMENT OF A CROSS-PLATFORM APPLICATION WITH THE NOSQL FIREBASE DATABASE AND THE IONIC FRAMEWORK)

  • Author(s):Olena Fedusenko, Iryna Domanetska, Yaroslav Khrolenko, Georgy Gaina
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:56-62
  • No. of Pages:7
  • Keywords:Cross-platform application; Ionic framework; NoSQL database Firebase; Angular framework; data integrity
  • Summary/Abstract:The article addresses the development of a cross-platform application using the Ionic hybrid web development framework for the client-side and the NoSQL Firebase database for implementing the server-side. The modern market often requires IT specialists to quickly develop high-quality solutions designed to solve specific business problems. Relevant tasks include developing a client-side application that works across multiple devices simultaneously and minimizing the server-side by leveraging cloud services that provide Database as a Service (DBaaS). Hybrid web development allows for the simultaneous creation of web and mobile applications, such as for Android and iOS, with the Ionic framework being one of the most popular solutions for hybrid development. This framework enables the development of cross-platform applications using web development tools, namely HTML, CSS, and JavaScript, and integrates with three of the most common web frameworks: Angular, React, and Vue. Additionally, it includes its own set of native visual components. Firebase is a popular tool for quickly building applications without managing infrastructure. It provides a scalable cloud-based NoSQL database for real-time data storage and synchronization. Built on Google's infrastructure, Firebase automatically scales. One of the key challenges when using NoSQL databases is ensuring data integrity during data deletion and editing operations. Using a cross-platform application developed by the authors to manage a small coffee shop's website as an example, this article proposes algorithms to ensure data integrity when using the Firebase NoSQL database. During the development of the application, the RxJS library was used to support real-time functionality, utilizing the Observer pattern to simplify the handling and composition of asynchronous or callback code.
EVALUATION OF THE PERFORMANCE OF AUTOMATED MACHINE LEARNING TOOLS

EVALUATION OF THE PERFORMANCE OF AUTOMATED MACHINE LEARNING TOOLS
(EVALUATION OF THE PERFORMANCE OF AUTOMATED MACHINE LEARNING TOOLS)

  • Author(s):Desislava Koleva, Yanka Aleksandrova
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:63-70
  • No. of Pages:8
  • Keywords:AutoML; automated machine learning; Azure; Amazon SageMaker; H2O; Altair
  • Summary/Abstract:The ubiquitous application of predictive models has created the demand for optimized ways of building, deploying and enhancing machine learning models. Traditionally building and deploying machine learning models require the involvement of highly classified data scientists with good knowledge about machine learning algorithms, specialized programming languages, mathematics, statistics and data engineering. The rela-tively new and developing area of automated machine learning (AutoML) has made the whole process of building and deploying an AI model more accessible and automated by providing solutions for automated machine learning pipeline encompassing data collection, preprocessing, feature selection, model building and hyperparameter tuning. Automated machine learning tools allow for business users that are not necessarily machine learning experts to develop and implement high quality predictive models. The purpose of this re-search paper is to assess and compare AutoML tools for solving classification problems. One of the leading AutoML tools are chosen like Azure Automated Machine Learning, Amazon Sage Maker Auto Pilot, H2O Au-toML, H2O Flow and Altair AI Studio Auto Model. Classification models using AutoML tools are trained on a dataset for customer churn predictions and models are compared based on previously chosen measures. AutoML tools are also assessed on different criteria like ease of use, functionality, user orientation, limitations and generated output format. Results show remarkable predictive performance of the generated classification models in general. The best trained classification models are ensemble models trained in Amazon Sage Maker Auto Pilot and H2O AutoML. Some conclusions and recommendations have been drawn to help data science practitioners with choosing and implementing automated machine learning tools.
МАРКЕТИНГОВИ ИНСТРУМЕНТИ С ИЗКУСТВЕН ИНТЕЛЕКТ

МАРКЕТИНГОВИ ИНСТРУМЕНТИ С ИЗКУСТВЕН ИНТЕЛЕКТ
(MARKETING TOOLS WITH ARTIFICIAL INTELLIGENCE)

  • Author(s):Boycho Boychev
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, Marketing / Advertising, ICT Information and Communications Technologies
  • Page Range:71-75
  • No. of Pages:5
  • Keywords:marketing; marketing tools; artificial intelligence
  • Summary/Abstract:Marketing tools with artificial intelligence (AI) are software solutions that enhance the efficiency of marketers by automating and optimizing tasks. These tools include chatbots, analytics platforms, and content creation tools, using machine learning and algorithms. They help analyze customer behavior, target specific segments, and deliver personalized content, thereby improving the effectiveness of marketing strategies. The purpose of the report is to highlight the benefits of using AI-powered marketing tools.
SMALL BUSINESS ROBOTIZATION WITH RPA (ROBOTIC PROCESS AUTOMATION)

SMALL BUSINESS ROBOTIZATION WITH RPA (ROBOTIC PROCESS AUTOMATION)
(SMALL BUSINESS ROBOTIZATION WITH RPA (ROBOTIC PROCESS AUTOMATION))

  • Author(s):Mihail Radev, Yanka Aleksandrova
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:76-80
  • No. of Pages:5
  • Keywords:Robotic process automation; RPA; small and medium-sized enterprise; SME; critical risk factors
  • Summary/Abstract:Technological development changes the conditions of doing business, and this applies to every entity in the market world. The report analyses the opportunities that small companies can gain by automating their business processes using Robotic Process Automation (RPA). It also analyses the risks and possible problems with such robotization of the processes.
ENHANCING INFORMATION TECHNOLOGIES FOR MARITIME PERSONNEL SELECTION IN CREWING COMPANIES BASED ON DECISION SUPPORT SYSTEMS

ENHANCING INFORMATION TECHNOLOGIES FOR MARITIME PERSONNEL SELECTION IN CREWING COMPANIES BASED ON DECISION SUPPORT SYSTEMS
(ENHANCING INFORMATION TECHNOLOGIES FOR MARITIME PERSONNEL SELECTION IN CREWING COMPANIES BASED ON DECISION SUPPORT SYSTEMS)

  • Author(s):Iryna Shkitina, Olha Izmailova, Hanna Krasovska, Oleh Ilarionov, Iryna Domanetska
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:81-83
  • No. of Pages:3
  • Keywords:information technology; crewing company; personnel search; candidate selection; human-machine decision-making; decision support system (DSS); multi-criteria analysis; expert evaluation; optimization
  • Summary/Abstract:This paper explores the process of improving information technologies for the search and selection of maritime personnel in crewing companies. An analysis of traditional management methods reveals that they are time and resource-intensive, and the results do not always optimize the company’s performance. A new approach based on human-machine decision-making technologies is proposed, incorporating decision support systems and logical-mathematical methods for personnel selection. The developed information technology formalizes selection processes, candidate evaluation, and enhances decision-making quality through the implementation of multi-criteria analysis and expert evaluation methods. Testing results demonstrated the high efficiency of the new system in real-world.
АВТОМАТИЗИРАНО ИЗВЛИЧАНЕ И АНАЛИЗ НА БИБЛИОМЕТРИЧНИ ДАННИ ЧРЕЗ API

АВТОМАТИЗИРАНО ИЗВЛИЧАНЕ И АНАЛИЗ НА БИБЛИОМЕТРИЧНИ ДАННИ ЧРЕЗ API
(AUTOMATED EXTRACTION AND BIBLIOMETRIC DATA ANALYSIS WITH API)

  • Author(s):Olga Marinova, Petya Strashimirova
  • Language:Bulgarian
  • Subject(s):Library and Information Science, Information Architecture, Electronic information storage and retrieval
  • Page Range:84-91
  • No. of Pages:8
  • Keywords:data extraction; bibliometric analysis; SCOPUS API; Web of Science API
  • Summary/Abstract:Retrieval of bibliometric data from leading scientific metrics databases such as Scopus and Web of Science is becoming increasingly important for effective tracking and analysis of scientific output. Data can be automatically collected and processed based on various parameters, which will allow us to use them more efficiently for the purpose of future summaries and, most importantly, to gain a thorough and reliable insight into current scientific trends. The aim of this paper is to explore the possibilities of Application Programming Interfaces (APIs) to retrieve and analyse bibliometric data, and to propose a methodology for automated data extraction from global scientific databases using APIs. Different techniques and methods for bibliometric data analysis are highlighted.
AN EMOTIONS MINING APPROACH TO SUPPORT ARTIFICIAL INTELLIGENCE SYSTEMS

AN EMOTIONS MINING APPROACH TO SUPPORT ARTIFICIAL INTELLIGENCE SYSTEMS
(AN EMOTIONS MINING APPROACH TO SUPPORT ARTIFICIAL INTELLIGENCE SYSTEMS)

  • Author(s):Radka Valerieva Nacheva
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:92-104
  • No. of Pages:13
  • Keywords:artificial intelligence; emotions analysis; human-centred computing; e-learning
  • Summary/Abstract:Increasing numbers of individuals become aware of how important emotions are to human communication and decision-making, and how important they are to developing more humancentric and sensitive artificial intelligence (AI). Adaptive behaviour in human-AI interaction is facilitated by different research methods, which also enhances AI's comprehension of user mood and intents. To improve the functioning of AI systems, this research aims to provide a domain-agnostic emotions mining approach to develop an ontology that will be useful for these systems. This method extracts, categorizes, and analyses emotional cues from unstructured data, including text and social media, by applying basic natural language processing (NLP), sentiment analysis, and machine learning algorithms.
AI AGENTS FOR EDUCATION AND TRAINING

AI AGENTS FOR EDUCATION AND TRAINING
(AI AGENTS FOR EDUCATION AND TRAINING)

  • Author(s):Miglena Stoyanova
  • Language:English
  • Subject(s):Social Sciences, Education
  • Page Range:105-112
  • No. of Pages:8
  • Summary/Abstract:Artificial intelligence (AI) agents have begun to play an important role in educational contexts, acting in different ways for learners and educators and adapting to their unique needs. These AI-driven technologies integrate into various learning environments, offering scalable and adaptive learning solutions. The current study discusses various approaches related to the application of AI agents in education and training, with a focus on current technological developments in the last few years. Different types of AI agents are explored and classified based on their roles in supporting students and educators. The study also presents the benefits and challenges of implementing AI agents, highlighting their potential to enhance and transform traditional education.
ОСОБЕНОСТИ, МОДЕЛ И ПРЕДИЗВИКАТЕЛСТВА НА ДИГИТАЛНИТЕ БЛИЗНАЦИ

ОСОБЕНОСТИ, МОДЕЛ И ПРЕДИЗВИКАТЕЛСТВА НА ДИГИТАЛНИТЕ БЛИЗНАЦИ
(FEATURES, MODEL AND CHALLENGES OF DIGITAL TWINS)

  • Author(s):Mariya Armyanova
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:113-121
  • No. of Pages:9
  • Keywords:Digital Twin; Internet of Things; Artificial Intelligence; Big Data; Federated Learning
  • Summary/Abstract:The development of digital twins is due to the development of IoT technology, combined with the growing capabilities of AI and augmented reality. Digital twins are models based on a very large amount of data about real objects and are used to remotely maintain, monitor, model and predict the behavior of the real object. They can be applied in a variety of industries and are valuable for improving productivity, reducing downtime and improving overall efficiency. Against this background, some challenges related to cybersecurity and interoperability, data protection and malicious, responsibility for data quality, reliability, governance and trust in technology use also stand out. The report shows the peculiarities of modeling and some challenges to technology.
ДЕКОНСТРУИРАНЕ НА МРЕЖАТА ОТ ДАННИ: ИНОВАЦИИ В ИЗПОЛЗВАНЕТО НА API

ДЕКОНСТРУИРАНЕ НА МРЕЖАТА ОТ ДАННИ: ИНОВАЦИИ В ИЗПОЛЗВАНЕТО НА API
(DECONSTRUCTING THE WEB OF DATA: INNOVATIONS IN THE USAGE OF API)

  • Author(s):Boris Bankov, Denitsa Petkova
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:122-128
  • No. of Pages:7
  • Keywords:web API; data exchange; SOAP; REST; GraphQL; gRPC
  • Summary/Abstract:The World Wide Web is a rich source of information managed and utilized through a multitude of technologies and protocols. Modern web systems and mobile applications gather data on user activity on the Internet, and the processing of these vast amounts of knowledge finds application in new language models. Sharing information resources across different platforms has its advantages and challenges. The aim of this report is to present an overview analysis of innovations in the use of Application Programming Interfaces (APIs) for data exchange between various web-based systems. With the rapid evolution of information technologies a diverse ecosystem of APIs can be explored, each with unique capabilities and use cases. As the demand for seamless data integration grows, businesses are increasingly adopting API-first strategies to enable efficient data sharing and interoperability. The study examines architectures, technologies, and types of API management services such as REST, GraphQL, SOAP, and gRPC.
СОФТУЕР ЗА ПОДПОМАГАНЕ НА ПРОЦЕСА НА ОБУЧЕНИЕ ПО ПРОГРАМИРАНЕ

СОФТУЕР ЗА ПОДПОМАГАНЕ НА ПРОЦЕСА НА ОБУЧЕНИЕ ПО ПРОГРАМИРАНЕ
(SOFTWARE TO SUPPORT THE PROGRAMMING LEARNING PROCESS)

  • Author(s):Stoycho Stoev, Presian Terziev
  • Language:Bulgarian
  • Subject(s):Social Sciences, Economy, Education, ICT Information and Communications Technologies
  • Page Range:129-133
  • No. of Pages:5
  • Keywords:programing; python
  • Summary/Abstract:Teaching programming involves spending a lot of intellectual energy, both when presenting new material and when controlling the acquired knowledge. In this sense, any possibility to ease this activity would help the process. For this purpose, we present an application as a tool for analyzing similar solutions. With it, the teacher has the opportunity to sift out part of the assignments necessary for checking and analysis.
ИЗГРАЖДАНЕ НА ЕДИННА ИНФОРМАЦИОННА ИНФРАСТРУКТУРА ЗА ОБРАЗОВАТЕЛНА АНАЛИТИКА ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ

ИЗГРАЖДАНЕ НА ЕДИННА ИНФОРМАЦИОННА ИНФРАСТРУКТУРА ЗА ОБРАЗОВАТЕЛНА АНАЛИТИКА ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ
(BUILDING A UNIFIED INFORMATION INFRASTRUCTURE FOR LEARNING ANALYTICS IN HIGHER EDUCATION)

  • Author(s):Asen Bozhikov, Yuriy Kuznetsov
  • Language:Bulgarian
  • Subject(s):Social Sciences, Education, Higher Education
  • Page Range:134-141
  • No. of Pages:8
  • Keywords:learning analytics; higher education; artificial intelligence
  • Summary/Abstract:The importance of learning analytics in modern higher education is increasing, especially after the growing interest of learners in electronic and distance learning. These changes lead to an increase in the amount of empirical data for student’s behaviour which offers new opportunities for data analysis. The pro-posed paper justifies the need of building a unified information infrastructure in higher education institutions, in order to improve the process of collecting, analyzing and interpreting data related to the education and the behaviour of students. The use of artificial intelligence in the analysis of that data helps to identify patterns and trends, which would lead to the creation of personalized educational strategies and improved quality of education.
ИНТЕГРАЦИЯ НА ИЗКУСТВЕНИЯ ИНТЕЛЕКТ И НА ГЪВКАВИТЕ МЕТОДОЛОГИИ ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ

ИНТЕГРАЦИЯ НА ИЗКУСТВЕНИЯ ИНТЕЛЕКТ И НА ГЪВКАВИТЕ МЕТОДОЛОГИИ ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ
(INTEGRATION OF ARTIFICIAL INTELLIGENCE AND AGILE METHODOLOGIES IN HIGHER EDUCATION)

  • Author(s):Latinka Todoranova, Bonimir Penchev
  • Language:Bulgarian
  • Subject(s):Social Sciences, Economy, Education, Higher Education , ICT Information and Communications Technologies
  • Page Range:142-148
  • No. of Pages:7
  • Keywords:Learning Process; Artificial Intelligence; Agile Methodologies; Srum; Agile
  • Summary/Abstract:In the modern higher education environment, it is increasingly essential to integrate innovative teaching approaches that meet the demands of a technologically advanced society. Alongside agile methodologies such as Scrum, Kanban, and Agile, originally developed for project management in the software industry, the role of artificial intelligence (AI) in the educational process is also expanding. These approaches and technologies offer adaptive, outcome-oriented processes that can enhance both teaching and learning. This article aims to explore the applicability of agile methodologies and AI in higher education by analyzing their potential to foster independent learning, develop teamwork skills, and enrich students’ knowledge and competencies. The paper also examines the possibilities for implementing AI tools and agile practices in the learning process and their impact on improving teacher-student interaction. Examples of experiments are included to validate the applicability of these approaches in the educational environment.
ЛЕКСЕМИ С КОРЕН КРАШ, ЕКСЦЕРПИРАНИ В ИНТЕРНЕТ ПРОСТРАНСТВОТО

ЛЕКСЕМИ С КОРЕН КРАШ, ЕКСЦЕРПИРАНИ В ИНТЕРНЕТ ПРОСТРАНСТВОТО
(LEXEMES WITH THE ROOT CRASH, EXTRACTED IN THE ONLINE SPACE)

  • Author(s):Anita Todoranova-Dushkova
  • Language:Bulgarian
  • Subject(s):Language studies, Language and Literature Studies, Foreign languages learning, Applied Linguistics, Translation Studies
  • Page Range:149-154
  • No. of Pages:6
  • Keywords:crash; computer terminology; online communication
  • Summary/Abstract:This paper examines the process of assimilation of lexical units with the root crash in contemporary Bulgarian. The word crash originates from the English verb crash, which was initially associated with computer terminology and describes the unexpected halt or failure of a computer system. The paper tracks how this term, after entering the speech of young people, became the basis for the formation of new words in the Bulgarian language. Based on the analysis of its usage in social media, the paper observes the expansion of the word’s meaning beyond its original use in a technological context, as well as its usage to describe various kinds of “crash” or failure in everyday situations.
FROM STRATEGY TO ROI: ADVANCED CLOUD MIGRATION METHODS ACCELERATING DIGITAL TRANSFORMATIONS

FROM STRATEGY TO ROI: ADVANCED CLOUD MIGRATION METHODS ACCELERATING DIGITAL TRANSFORMATIONS
(FROM STRATEGY TO ROI: ADVANCED CLOUD MIGRATION METHODS ACCELERATING DIGITAL TRANSFORMATIONS)

  • Author(s):Ivaylo Dimitrov
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:155-161
  • No. of Pages:7
  • Keywords:Business Transformation; Efficiency; Cloud Migration; Automation; ROI (Return on Investment)
  • Summary/Abstract:Cloud migration has become a core strategy for enterprises to stay competitive in today’s dynamic environment. This paper explores advanced cloud migration methods that expedite business transformation by reducing time-to-value, improving efficiency, and ensuring quality. While cloud migration inquiries once focused on feasibility, businesses now emphasize alignment with strategic objectives, timelines, ROI, and quality assurance. This study presents an advanced framework that integrates business goals into each stage of the cloud migration process, starting with an assessment of both technical needs and expected business outcomes, such as efficiency gains and cost savings. Practical implementation examples, like automated workload assessments and phased migration strategies, are highlighted to meet the demand for faster, predictable ROI. Key business dynamics, such as agility, scalability, and efficiency, are identified as success metrics in modern cloud initiatives. The analysis draws on advanced methodology for accelerated cloud migrations, emphasising how automation and best practices support both technical and business needs. These advanced methods reduce the time required for cloud adoption, allowing organizations to realize benefits sooner, including enhanced agility, reduced costs, improved service quality, and stronger data-driven capabilities for better ROI. This paper also presents the role of cloud solutions in modernising IT for educational institutions, positioning them as significant incubators of innovation. By combining theoretical insights and practical case studies, it aims to bridge strategic cloud adoption with implementation challenges, providing valuable guidance for decision-makers in business and education. The findings suggest that advanced cloud migration methods transform both technical and business landscapes, enabling organizations to respond effectively to market demands and drive continuous innovation. The study offers a blueprint for aligning cloud strategies with measurable outcomes, ensuring migration serves as a strategic driver of digital transformation.
OPTIMIZING CLOUD DATA MANAGEMENT WITH AI-DRIVEN SOLUTIONS

OPTIMIZING CLOUD DATA MANAGEMENT WITH AI-DRIVEN SOLUTIONS
(OPTIMIZING CLOUD DATA MANAGEMENT WITH AI-DRIVEN SOLUTIONS)

  • Author(s):Iviana Hristova
  • Language:English
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:162-168
  • No. of Pages:7
  • Keywords:Artificial Intelligencе; Data Management; Cloud Computing; Google Cloud; BigQuery
  • Summary/Abstract:In the era of digital transformation, data has become a critical asset for organizations, driving key decision-making and strategic initiatives. As enterprises increasingly shift to cloud infrastructures, managing broad amounts of data has become a central challenge. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing cloud data management processes, focusing on data integrity, predictive analytics for capacity planning, and real-time data integration. AI-driven methodologies, including machine learning and natural language processing, are discussed for their application in automating data quality management, improving resource allocation, and seamlessly integrating disparate data sources.A significant aspect of this exploration includes Google Cloud’s BigQuery, a powerful tool that integrates machine learning capabilities directly within cloud data workflows. BigQuery’s ML integration allows organizations to automate data cleansing processes by detecting and correcting anomalies in real-time, thus ensuring high data accuracy and consistency across datasets. With its built-in SQL support and advanced ML functions, BigQuery enables extensive data analysis without the need for complex infrastructure, making it highly accessible for data engineers and analysts alike.The study further highlights BigQuery’s predictive analytics capabilities for capacity planning, enabling organizations to forecast data needs using techniques like time-series analysis. This predictive functionality helps businesses dynamically adjust resources to meet demand, optimizing both performance and cost. Furthermore, BigQuery supports real-time data integration, essential for high-demand applications such as financial analysis and customer engagement, where timely insights are critical. By investigating both the opportunities and limitations, this paper provides a comprehensive understanding of AI's potential in reshaping cloud data management and its future developments.
ВЪЗМОЖНОСТИ ЗА РАЦИОНАЛИЗИРАНЕ НА БИЗНЕС ПРОЦЕСИ В ПРОИЗВОДСТВЕНИ ПРЕДПРИЯТИЯ ЧРЕЗ ПРИЛАГАНЕ НА ОБЛАЧНИ ТЕХНОЛОГИИ

ВЪЗМОЖНОСТИ ЗА РАЦИОНАЛИЗИРАНЕ НА БИЗНЕС ПРОЦЕСИ В ПРОИЗВОДСТВЕНИ ПРЕДПРИЯТИЯ ЧРЕЗ ПРИЛАГАНЕ НА ОБЛАЧНИ ТЕХНОЛОГИИ
(ENHANCING BUSINESS PROCESSES IN MANUFACTURING ENTERPRISES THROUGH CLOUD-BASED TECHNOLOGIES)

  • Author(s):Yordan Yordanov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:169-175
  • No. of Pages:7
  • Keywords:cloud technologie; enhancing manufacturing business processes; optimization via digital solutions
  • Summary/Abstract:This study investigates the strategic role of cloud technologies in the digitalization of specific business processes within manufacturing enterprises. The goal is to examine a software solution that manages diverse business operations, highlighting methods to tackle complex business logic for enhanced scalability, flexibility, and maintainability. Cloud-native services that facilitate real-time updates and enhance data accessibility are analyzed to provide an optimized end-user experience.
КИБЕРСИГУРНОСТТА ОТ ГЛЕДНА ТОЧКА НА ПОТРЕБИТЕЛИТЕ

КИБЕРСИГУРНОСТТА ОТ ГЛЕДНА ТОЧКА НА ПОТРЕБИТЕЛИТЕ
(CYBERSECURITY FROM THE USERS' PERSPECTIVE)

  • Author(s):Ivan Mihaylov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:176-181
  • No. of Pages:6
  • Keywords:Cybersecurity; Cyber Attacks; Information Security; Cyber Incidents
  • Summary/Abstract:In modern conditions, a significant part of human activity is carried out with the help of information technology. The data stored and processed within information systems not only grows in volume but also changes in quality, becoming a valuable asset for both citizens and society. In this context, the security of communication infrastructures and information systems becomes a necessary prerequisite for further progress. Educational institutions hold personal data about their employees and students, as well as information on academic achievements. This data is a valuable resource that must be safeguarded in the same way as financial assets. Two key European Union directives from 2016 and 2022 aim to increase the overall level of cybersecurity across the Union, placing significant emphasis on responses following cyber incidents. Therefore, awareness and communication are essential factors for ensuring information security. The main provisions of these directives are also included in the Bulgarian Cybersecurity Act, effective since 2018.The purpose of this report is to determine students’ level of awareness regarding best practices and appropriate responses in cases of cyber incidents, based on an analysis of survey results examining students' experiences with cyber incidents and their subsequent actions. The knowledge gained will contribute to a better understanding of the need for enhanced cybersecurity measures and risk management in the context of university information resources.
ТЕОРЕТИЧНИ ОСНОВИ НА АЛГОРИТМИТЕ ЗА ИЗКУСТВЕН ИНТЕЛЕКТ

ТЕОРЕТИЧНИ ОСНОВИ НА АЛГОРИТМИТЕ ЗА ИЗКУСТВЕН ИНТЕЛЕКТ
(THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE)

  • Author(s):Nikolay Nikolov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:182-186
  • No. of Pages:5
  • Keywords:artificial intelligence; algorithms; machine learning; neural networks
  • Summary/Abstract:This paper explores the theoretical principles underlying artificial intelligence (AI) algorithms. The focus is on the mathematical and algorithmic models that enable machines to acquire, represent, and utilize knowledge. Concepts from linear algebra, probability theory, and statistics, which are critical for under-standing machine learning and deep neural networks, are examined. Various learning methods, including supervised, unsupervised, and reinforcement learning, are analyzed. The paper also discusses the role of algorithmic complexity and computational efficiency in the development of scalable AI systems. In conclusion, future directions and research questions related to the theoretical aspects of artificial intelligence are presented.
ГЕЙМИФИКАЦИЯ: ИНСТРУМЕНТ ЗА ПОВИШАВАНЕ НА МОТИВАЦИЯТА И ПОСТИЖЕНИЯТА НА УЧЕНИЦИТЕ В ПРОФИЛИРАНОТО ОБУЧЕНИЕ ПО ИНФОРМАТИКА

ГЕЙМИФИКАЦИЯ: ИНСТРУМЕНТ ЗА ПОВИШАВАНЕ НА МОТИВАЦИЯТА И ПОСТИЖЕНИЯТА НА УЧЕНИЦИТЕ В ПРОФИЛИРАНОТО ОБУЧЕНИЕ ПО ИНФОРМАТИКА
(GAMIFICATION: A TOOL FOR ENHANCING STUDENT MOTIVATION AND ACHIEVEMENT IN PROFILING INFORMATICS EDUCATION)

  • Author(s):Stanaila Neykova-Karagaeva
  • Language:Bulgarian
  • Subject(s):Social Sciences, Education, Educational Psychology, State/Government and Education, Pedagogy
  • Page Range:187-195
  • No. of Pages:9
  • Keywords:gamification; engagement; motivation; students; informatics education
СЪВРЕМЕННИ ИНСТРУМЕНТИ ЗА ТЕСТВАНЕ НА PHP БАЗИРАНИ УЕБ ПРИЛОЖЕНИЯ

СЪВРЕМЕННИ ИНСТРУМЕНТИ ЗА ТЕСТВАНЕ НА PHP БАЗИРАНИ УЕБ ПРИЛОЖЕНИЯ
(MODERN TESTING TOOLS FOR PHP WEB APPLICATIONS)

  • Author(s):Simeon Vladkov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:196-201
  • No. of Pages:6
  • Keywords:web applications; software tests; PHP
  • Summary/Abstract:The creation of web applications is among the most dynamically evolving fields in software development. Every day, new technologies for web application development emerge, building upon and enhancing existing ones. One of the most commonly used and preferred programming languages for building web applications is PHP. For years, PHP has supported over three-quarters of all existing websites and web applications on the internet. Despite the growing interest in other web programming languages like JavaScript and Python, PHP remains a favourite choice for developers worldwide due to the consistent support from its development team, which maintains the language and releases new versions. Its easy integration with various web servers and database management systems, as well as the rich variety of frameworks and libraries, make PHP a suitable tool for building complex web applications. While developing complex software systems, ensuring functionali-ty, reliability, and the overall quality of the software is crucial. For this purpose, specialists use software tests to measure various indicators and provide an objective evaluation of the tested software. To achieve this ob-jective assessment, testers use a set of tools known as a testing suite, which combines various software testing products to thoroughly and comprehensively test the developed software. This report examines different ap-proaches and types of tests in software testing. It introduces modern libraries and frameworks for testing PHP web applications. The various aspects of these tools are analyzed, defining their strengths and weak-nesses, and comparing their effectiveness in different situations. The report aims to demonstrate the value that software testing brings to the final product, both for its users and its developers.
РОЛЯТА НА СОЦИАЛНИТЕ МЕДИИ В ИЗГРАЖДАНЕТО НА БРАНД ИДЕНТИЧНОСТ И ТАРГЕТИРАНЕ НА АУДИТОРИЯ

РОЛЯТА НА СОЦИАЛНИТЕ МЕДИИ В ИЗГРАЖДАНЕТО НА БРАНД ИДЕНТИЧНОСТ И ТАРГЕТИРАНЕ НА АУДИТОРИЯ
(THE ROLE OF SOCIAL MEDIA IN BUILDING BRAND IDENTITY AND AUDIENCE TARGETING)

  • Author(s):Mariana Marinova
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, Marketing / Advertising, Socio-Economic Research
  • Page Range:202-205
  • No. of Pages:4
  • Keywords:Social media; brand identity; digital marketing; audience targeting; visual content; user engagement; target-ed ads; personalized content
  • Summary/Abstract:Social media is a vital element of modern digital marketing, providing platforms for direct communication with consumers and opportunities to build brand identity. Through personalized content and targeted marketing campaigns, social networks like Facebook, Instagram, and TikTok enable companies to reach specific demographic and behavioral groups.This study examines key strategies for using social media to enhance brand awareness and drive engagement. By combining an analysis of metrics such as CTR, ROI, and conversions with case studies of successful campaigns, the research confirms the effectiveness of social media in fostering audience loyalty.
BUILT-IN LEARNING ANALYTICS CAPABILITIES IN MOODLE

BUILT-IN LEARNING ANALYTICS CAPABILITIES IN MOODLE
(BUILT-IN LEARNING ANALYTICS CAPABILITIES IN MOODLE)

  • Author(s):Gergana Kasabova
  • Language:English
  • Subject(s):Social Sciences, Education, Higher Education , Distance learning / e-learning
  • Page Range:206-212
  • No. of Pages:7
  • Keywords:e-learning; Learning Management System; Learning Analytics; Moodle Analytics API
  • Summary/Abstract:This article examines the possibilities of Learning Analytics within the Learning Management System (LMS) Moodle. With the increasing role of online distance education and technology in educational process-es, Learning Analytics is becoming a key tool for enhancing the learning experience. Moodle, as a leading open-source platform, generates a substantial amount of data on learner activities, which can be analyzed to improve educational quality. Learning analytics involves the collection, measurement and evaluation of data regarding learners, with the aim of understanding their outcomes and optimizing the learning process. This allows for informed decisions regarding learning opportunities and teaching methods as well as the identification of students at risk of dropping out. There are four main types of learning data analysis: descriptive, diagnostic, predictive, and prescriptive. Moodle provides built-in learning analytics capabilities through its Moodle Analytics API, which utilizes models based on machine learning and “static” models. The main ad-vantages of Moodle Analytics include predicting learner performance and data-driven decision-making, while some of the challenges are the complexity of setting up and configuring the API, as well as concerns related to data privacy.
УПРАВЛЕНИЕ НА ИНФОРМАЦИОННА СИГУРНОСТ В ОБРАЗОВАТЕЛНИТЕ ИНСТИТУЦИИ: ПОЛИТИКИ, ПРОЦЕДУРИ И ДОБРИ ПРАКТИКИ

УПРАВЛЕНИЕ НА ИНФОРМАЦИОННА СИГУРНОСТ В ОБРАЗОВАТЕЛНИТЕ ИНСТИТУЦИИ: ПОЛИТИКИ, ПРОЦЕДУРИ И ДОБРИ ПРАКТИКИ
(INFORMATION SECURITY MANAGEMENT IN EDUCATIONAL INSTITUTIONS: POLICIES, PROCEDURES AND GOOD PRACTICES)

  • Author(s):Dean Vasilev
  • Language:Bulgarian
  • Subject(s):Social Sciences, Education, Higher Education , State/Government and Education
  • Page Range:213-219
  • No. of Pages:7
  • Keywords:Safe school; Cybersecurity; Information security
  • Summary/Abstract:This report examines the main principles and steps in the development and implementation of information security management policies in educational institutions, with a special focus on the Vocational High School of Economics "Dr. Ivan Bogorov" - Varna. The process of creating an information security policy in the context of regulations and international standards is explored. The report includes an analysis of the main steps for the implementation of information security policies in educational environments and the specific implementation of these policies within the Vocational High School of Economics "Dr. Ivan Bogorov".
МЕТОДИ ЗА ЗАЩИТЕНО СЪХРАНЕНИЕ НА ДАННИ

МЕТОДИ ЗА ЗАЩИТЕНО СЪХРАНЕНИЕ НА ДАННИ
(METHODS FOR SECURE STORAGE OF DATA)

  • Author(s):Dako Dimov
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, ICT Information and Communications Technologies
  • Page Range:220-228
  • No. of Pages:9
  • Keywords:encryption; hashing; data security
  • Summary/Abstract:The report aims to review the security threats to sensitive data in today's digital era, focusing on the way it is stored. Methods for encryption, hashing and salting of data are presented. Encryption transforms the data into ciphertext using symmetric and asymmetric algorithms, chosen depending on the use case. Hashing generates unique values for checking the integrity of the data, whereas salting adds additional data to prevent attacks with precomputed hash values. These methods of secure data storage, alongside additional techniques, such as adding “pepper”, create a complex defense mechanism, which increases the security and lowers the risk of malicious attacks.
ИЗБОР НА EXCHANGE-TRADED FUND (ETF) ЗА ФИНАНСОВОТО ПОРТФОЛИО НА ИНВЕСТИТОРА

ИЗБОР НА EXCHANGE-TRADED FUND (ETF) ЗА ФИНАНСОВОТО ПОРТФОЛИО НА ИНВЕСТИТОРА
(CHOOSING THE RIGHT EXCHANGE-TRADED FUND FOR YOUR INVESTMENT PORTFOLIO)

  • Author(s):Viktor Andreev
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, Micro-Economics, Financial Markets
  • Page Range:229-236
  • No. of Pages:8
  • Keywords:Exchange-traded funds; investment portfolio; low interest rates; Covid pandemic; Russian invasion
  • Summary/Abstract:Low interest rates on savings deposits in the last decade have been a serious problem for investors. The objective of this paper is to give useful advices to the individual investor to maximize the amount invested based on an analysis of historical data for specific instruments. The object of the analysis is different types of financial instruments (exchange-traded funds). The analysed period is the last 5 years (2019 - 2024). The period during which 2 important events for the world economy occurred (the 2020 Covid pandemic and the 2022 Russian invasion in Ukraine) The software products used for the analysis are Microsoft Office package(MS Office, MS Excel) and MS Power BI.
АНАЛИЗ НА СИСТЕМИ, БАЗИРАНИ НА ИЗКУСТВЕН ИНТЕЛЕКТ, ЗА ОСИГУРЯВАНЕ НА ОБУЧЕНИЕТО ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ

АНАЛИЗ НА СИСТЕМИ, БАЗИРАНИ НА ИЗКУСТВЕН ИНТЕЛЕКТ, ЗА ОСИГУРЯВАНЕ НА ОБУЧЕНИЕТО ВЪВ ВИСШЕТО ОБРАЗОВАНИЕ
(AN ANALYSIS OF ARTIFICIAL INTELLIGENCE-BASED SYSTEMS FOR THE DELIVERY OF LEARNING IN HIGHER EDUCATION)

  • Author(s):Slavka Stamenova
  • Language:Bulgarian
  • Subject(s):Social Sciences, Education, Higher Education
  • Page Range:237-245
  • No. of Pages:9
  • Keywords:education; artificial intelligence; learning, processes
  • Summary/Abstract:Technological development in the modern world increasingly leads to the implementation of systems based on artificial intelligence in various spheres of people's lives. Their application in the field of higher education is of great importance. These technologies offer innovative solutions for data analysis, personalization of learning, optimization of administrative processes and learning materials. Artificial intelligence offers a wide range of possibilities for the transformation of higher education, with the aim of improving learning and managing the learning process. The purpose of this report is to investigate artificial intelligence-based systems used in higher education learning.
ПРИЛОЖЕНИЕ НА ЛОКАЛНО SEO ЗА ПОДОБРЯВАНЕ НА ВИДИМОСТТА И КОНКУРЕНТОСПОСОБНОСТТА НА МАЛКИЯ И СРЕДЕН БИЗНЕС В ДИГИТАЛНАТА ЕРА

ПРИЛОЖЕНИЕ НА ЛОКАЛНО SEO ЗА ПОДОБРЯВАНЕ НА ВИДИМОСТТА И КОНКУРЕНТОСПОСОБНОСТТА НА МАЛКИЯ И СРЕДЕН БИЗНЕС В ДИГИТАЛНАТА ЕРА
(АPPLICATION OF LOCAL SEO TO IMPROVE THE VISIBILITY AND COMPETITIVENESS OF SMALL AND MEDIUM-SIZED BUSINESSES IN THE DIGITAL AGE)

  • Author(s):Yana Pancheva
  • Language:Bulgarian
  • Subject(s):Economy, Business Economy / Management, Micro-Economics
  • Page Range:246-252
  • No. of Pages:7
  • Keywords:local SEO; small and medium-sized enterprises (SMEs); small business; medium business; visibility
  • Summary/Abstract:In the contemporary digital environment, local businesses face increasing competition from both global companies and other businesses in their region. Local SEO optimization is becoming a key strategy for small and medium-sized enterprises (SMEs) aiming to improve their visibility and competitiveness at a regional level. The results of the study show that by implementing well-targeted local SEO strategies, SMEs can increase their online presence, attract more local customers, and enhance their competitiveness in the digital age.
ОБЗОР НА ВИДОВЕТЕ ИЗТОЧНИЦИ НА ДАННИ

ОБЗОР НА ВИДОВЕТЕ ИЗТОЧНИЦИ НА ДАННИ
(AN OVERVIEW OF THE DATA SOURCE TYPES)

  • Author(s):Martin Doynov
  • Language:Bulgarian
  • Subject(s):Economy, ICT Information and Communications Technologies
  • Page Range:253-261
  • No. of Pages:9
  • Keywords:data, sources; types; information; extraction
  • Summary/Abstract:Collecting information and extracting knowledge from it is a cornerstone process of humanity’s development. Along with the evolving technologies, the methods for handling data are also built upon and further sophisticated. Despite the variety of modern tools, helping researchers in the process of data collection, as well as the practically unlimited quantity of information at hand, the difficulty of finding substantial information and the risk of falling victim to faulty records increases due to the sheer volumes of available knowledge. If we do not possess the skills to filter data correctly and extract added value from the conclusions, they will be of no use. This is what necessitates the need for deepened understanding of data sources and the best practices essential to any researcher in order to pick only the most suitable material for their research. This academic work was conducted as part of project № ПНИ-КС24-04-DCAAITM.
MEAL MASTER: AN INNOVATIVE AI SOLUTION FOR RECIPE GENERATION

MEAL MASTER: AN INNOVATIVE AI SOLUTION FOR RECIPE GENERATION
(MEAL MASTER: AN INNOVATIVE AI SOLUTION FOR RECIPE GENERATION)

  • Author(s):David Petkov
  • Language:English
  • Subject(s):Economy, Business Economy / Management, Tourism, Socio-Economic Research
  • Page Range:262-269
  • No. of Pages:8
  • Keywords:Artificial; Intelligence; Application; Cooking; Recipe
  • Summary/Abstract:This paper aims to introduce Meal Master, a web platform driven by artificial intelligence, designed specifically to help with ideas on reducing household food waste and present quick and easy solutions for preparing meals, thereby reducing the time people usually spend preparing food. Artificial intelligence, algorithms, web-based systems, and modern web technologies have been implemented in this system. It provides professional and fast recipe suggestions based on photos or inputs provided by the user, considering any preferences and allergies in diets they have set in advance. By promoting healthy food consumption and minimizing waste, Meal Master makes meal preparation faster, easier and more enjoyable.
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