Форматированное содержание: Онкологиялық деректер негізінде сүт безі қатерлі ісігін диагностикалаудың қолданыстағы әдістеріне шолу; Сүт безі қатерлі ісігін анықтау үшін биомедициналық ақпаратты талдаудың математикалық модельдері мен әдістері; Маммологиялық кескіндерде ісіктерді анықтау мен классификациялауды автоматтандыру үшін машиналық оқыту алгоритмдерін қолдану

Форматированное содержание: Сравнительный анализ жестовых языков разных стран; Математические модели и методы перевода казахского текста на жестовый язык: семантический анализ; Исследование и разработка алгоритма для автоматизированного переводчика жестового языка используя математические формулы; Научные аспекты современных подходов к машинному переводу для жестового языка

Форматированное содержание: Сыртқы факторлардың мектеп оқушыларының өмірлік құндылықтары мен әрекеттеріне тигізетін әсерін талдау және мониторингтеу; Әлеуметтік институттардың әрекеттерін зерттеудегі критерийлердің статистикалық маңыздылығын бағалау және деректерді талдау; Қашықтықтан оқыту сапасын бағалау үшін машиналық оқытудың гибридті моделін әзірлеу және іске асыру

Форматированное содержание: Аспекты образования и тестирования: мягкие навыки, проблемы, эволюция и контроль знаний; Искусственный интеллект и интеллектуальные системы: основы, методы и применение; Программная реализация интеллектуальной системы оценки и контроля знаний на основе алгоритма шинглов

Форматированное содержание: The Evolution and Pitfalls of AI; The Rise and Fall of Symbolic AI; The Neural Networks Revolution; The Need for Explainable AI; Introducing Neuro-Symbolic AI - the Next Level of AI; A Marriage of Neurons and Symbols - Opportunities and Obstacles; Applications of Neuro-Symbolic AI; Neuro-Symbolic Programming in Python; The Future of AI

Форматированное содержание: Epidemiology, Detection and Management of Cancer: An Overview; A VGG16 Feature-Based Transfer Learning Evaluation for the Diagnosis of Oral Squamous Cell Carcinoma (OSCC); The Classification of Breast Cancer: The Effect of Hyperparameter Optimisation Towards the Efficacy of Feature-Based Transfer Learning Pipeline; The Classification of Lung Cancer: A DenseNet Feature-Based Transfer Learning Evaluation; Skin Cancer Diagnostics: A VGGEnsemble Approach; The Way Forward

Форматированное содержание: Introduction; Artificial Intelligence and Methods; Signal Validation; Diagnosis; Prediction; Control; Monitoring; Human–Autonomous System Interface and Decision-Making; Conclusion

Форматированное содержание: Introduction; The Proposed Automated Optimal Design for Power Switch: A Thermo-mechanical-Coordinated and Multi-objective-Oriented Optimization Methodology; The Proposed Multi-objective Design of Output LC Filter for Buck Converter via the Coevolving-AMOSA Algorithm; The Proposed Artificial-Intelligence-Based Design (AI-D) for Circuit Parameters of Power Converters; The Proposed Efficiency-Oriented Two-Stage Optimal Design Methodology for Special Power Converter in Space Travelling-Wave Tube Amplifier Applications; The Proposed AI Based Two-Stage Optimal Design Methodology for High-Efficiency Bidirectional Power Converters in the Hybrid AC/DC Microgrid Applications; The Proposed Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress; The Proposed Optimal Design and Heterogeneous Integration of DC/AC Inverter for Electric Vehicle

Форматированное содержание: Introduction; Part I Machine Learning Background: Machine Learning in a Nutshell; Artificial Neural Networks; Autoencoders; Part II Overview of Using Machine Learning for Scientific Discoveries: Creating Experimental Setups; Model Creation; Model Testing; Part III Representation Learning for Physical Discoveries: Theory: Formalizing the Process of Human Model Building; Methods: Using Neural Networks to Find Simple Representations; Applications: Physical Toy Examples; Future Research Directions and Further Reading; Part IV Future Prospects: Future Prospects

Форматированное содержание: The Role of Blockchain with a Cybersecurity Maturity Model in the Governance of Higher Education Supply Chains; Fighting the Tide-GPT and an Alarming Sense of Déjà Vu; Embedding AI in Higher Education: A Call for a Service Design Approach; An Empirical Study into Ransomware Campaigns Against the Education Sector and Adopting the Cybersecurity Maturity Model Certification Framework; Strategic Decision-Making for Pedagogical Course Planning Using NLP in Social Media Data; The Use of Virtual Learning Environments in Higher Education-Content, Community and Connectivism-Learning from Student Users; Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure; Development of a Decentralized Personal Indefinable Information (PII) Management Systems Using Blockchain dBFT Consensus Algorithm; Security Framework for Big Data Usage in Cloud-based e-Learning Application; A Proactive Approach to Protect Cloud Computing Environment Against a Distributed Denial of Service (DDoS) Attack; Ransomware Attack on the Educational Sector

Форматированное содержание: Introduction; Vision System and Calibration; Uncertainty and Sensitivity Analysis; Identification; Force Control and Assembly; Integrated Assembly and Performance Evaluation; Conclusion

Форматированное содержание: COVID-19 Pandemic: Theory, Concepts and Challenges; Evolutionary Algorithm Based Summarization for Analyzing COVID-19 Medical Reports; SARS-CoV-2 Infection and Antibody-Dependent Enhancement; Application of Deep Learning Techniques for COVID-19 Management; An Exploratory Study of Disaster Risk Management Mobile Applications in Pandemic Periods; Geographic Spread and Control of 2019-nCoV in the Absence of Vaccine; Machine Learning Based Anxiety Prediction of General Public from Tweets During COVID-19; Computational Intelligence Based Hybrid Hyperparameter Tuned Prediction Techniques for COVID-19 Epidemiological Data; Early Prediction of COVID-19 Outcome: Contrasting Clinical Scores and Computational Intelligence Methods; Enhanced Classification Using Restricted Boltzmann Machine Method in Deep Learning for COVID-19; Convolutional Neural Networks for COVID-19 Diagnosis; Deep Learning for COVID-19

Форматированное содержание: Stress Identification from Speech Using Clustering Techniques; Predicting Glaucoma Diagnosis Using AI; Microscopic Analysis of Blood Cells for Disease Detection: A Review; Investigating Clinical Named Entity Recognition Approaches for Information Extraction from EMR; Application of Fuzzy Convolutional Neural Network for Disease Diagnosis: A Case of Covid-19 Diagnosis Through CT Scanned Lung Images; Computer Aided Skin Disease (CASD) Classification Using Machine Learning Techniques for iOS Platform; A Comprehensive Study of Mammogram Classification Techniques; A Comparative Discussion of Similarity Based Techniques and Feature Based Techniques for Interaction Prediction of Drugs and Targets

Форматированное содержание: Multiple Criteria Modeling; TOPSIS Basics; TOPSIS Variants; Group Aspects of TOPSIS; TOPSIS for Decision Support; Sorting Problems by TOPSIS; Rank Reversal in TOPSIS; Other Related Methods; TOPSIS Applications

Форматированное содержание: Introduction: Why A Market of Data? A Solution for Innovations; Data-Interactive Innovations as the Heart of Market of Data (MoDAT); Tools for Activating Data Market place (1); Tools for Activating Data Marketplace (2); Knowledge Structuring and Acquisition for Data Exchange; Case Studies of Innovators’ Marketplace on Data Jackets; Conclusions

Форматированное содержание: Machine Intelligence; The Game Metaphor; Introduction to BOXES; Dynamic Control as a Game; Control of a Simulated Inverted Pendulum Using the BOXES Method; The Liverpool Experiment; Solving the Auto-Start Dilemma; Continuous System Control; Other On/Off Control Case Studies; Two Nonlinear Applications; Two Advising Paradigms; Evolutionary Studies Research; A Priori Knowledge; Detecting and Handling Jitter; Summary and Conclusions

Форматированное содержание: Distance Learning Solutions: The Role of Artificial Intelligence: Using Student Opinions to Guide Investments in Assessment Methods; The Future of Education After Covid-19, What is the Role of Technology; Technology Role in Education to Overcome COVID-19 Challenges; E-learning and Its Application in Universities During Coronavirus Pandemic; Utilization of Digital Network Learning and Healthcare for Verbal Assessment and Counselling During Post COVID-19 Period; Distance Learning Solutions and the Role of Artificial Intelligence: A Review; Online Examination Systems, Preventing Cheating and the Ethical, Social and Professional View: Online Examination Systems, Presenting Cheating and the Ethical, Social and Professional View of Them; The Impact of Artificial Intelligence (AI) on the Development of Accounting and Auditing Profession; Willingness to Communicate in Face-To-Face and Online Language Classroom and the Future of Learning; Cheating in Online Exams: Motives, Methods and Ways of Preventing from the Perceptions of Business Students in Bahrain; Language and Electronic Media Competencies Required for the Arabic Language Teacher for Non-native Speakers in the Time of Covid 19; Controlling the Implementation of Precautionary Measures in Conducting Exams Within a University During the COVID-19 Pandemic; Experiences and Practices of Technology Application in Times of the COVID-19 Pandemic: The Experience of the Kingdom of Saudi Arabia in the Field of E-learning During the Coronavirus Pandemic; Robots in the Neighborhood: Application and Criminalization of the Artificial Intelligence in Education; Researchers’ Motivation and Its Correlates: An Empirical Study Amid COVID-19 Pandemic in Arab Region; Applying Simulation Tools in Education During the COVID-19 Pandemic: Towards Academic Integrity: Using Bloom’s Taxonomy and Technology to Deter Cheating in Online Courses; An Empirical Study on the Effectiveness of Online Teaching and Learning Outcomes with Regard to LSRWSkills in COVID-19 Pandemic; A Comprehensive Review of Blockchain Technology and Its Related Aspects in Higher Education; The Influence of Artificial Intelligence on Smart Learning: An Overview; The Governmental Support in Distance Education and Digital Learning Management Systems: The Government Support in Distance Education: Case of Bahrain; The Impact of Digital Learning Management System on Students of Higher Education Institutions During Covid-19 Pandemic; The Impact of Artificial Intelligence on Instructional Leadership