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• Why teach science to all learners?
• Why do pupils with SEND underachieve in science and how can teachers mitigate this?
• Assessment for success
• Approaches to teaching exemplar science topics.

• On some de novo type approaches to fuzzy decision making, optimization and control: an application to sustainable regional development
• Summarization of bimodal information from large data sets
• Multi-attribute decision making in material selection under Z-valued information
• Decision making on students performance estimation
• Decision making on selection of Ferritic stainless steel
• Forecasting demand in the commodity market of food products using neural networks
• Estimation of countries economic development by using Z-number theory
• Optimal implication-based fuzzy control system for a steam generator
• Prediction of energy consumption in residential buildings using Type-2 fuzzy wavelet Neural Network
• Analysis of knee osteoarthritis grading using Deep Learning
• Solving problem of unit commitment by exchange market algorithm and dynamic planning method
• Regular Identification Algorithms for a Special Class of Neuro-Fuzzy Models ANFIS.

The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision-making under imperfect information, deep learning, and others. The topics of the papers include theory and application of Soft Computing, Neuro-Fuzzy Technology, Intelligent Control, Deep Learning-Machine Learning, Fuzzy Logic in Data Analytics, Evolutionary Computing, Fuzzy logic and Artificial Intelligence in Engineering, Social Sciences, Business, Economics, Material Sciences, and others. This book presents the proceedings of the 16th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2022, held in Budva, Montenegro, on August 26-27, 2022. This is a useful guide for academics, practitioners, and graduates in fields of fuzzy logic and soft computing. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

• Influence of COVID-19 Confinement and Pandemic on the Academic Performance of Students
• 3D with Artificial Intelligence Technology Contributes Science and Technology Education Development
• Enhancing Engineer and Engineering Perception Through Video Design in STEM Education
• Circulation as a Concept Graphically Represented in a Game-like Manner to Support the Design Process in Architecture
• The Blockchain Technology Applications in Higher Education
• Undergraduate Engineering Laboratories: A Study Exploring Laboratory Objectives and Student Experiences at an Irish University.

This volume of the series Proceedings in Engineering Mechanics - Research, Technology and Education provides selected papers presented at the 3rd International Conference on Science and Technology Education, held in Porto, Portugal, October 6-7, 2022. From the various topics covered at this conference, individual contributions have been selected for this book. These contributions focus on learning mechanisms, learning systems and assessment. The book presents the latest trends, new methods and ideas in science and technology education. An essential resource for lecturers and tutors working in this field.

• Novel Technologies enabled Secured Privacy Models and Optimized Networking Infrastructures toward Secure Industries.- Developments towards Sustainable Healthcare Sector.- Machine Learning and Deep Learning Enabled Applications in Different Sectors.- Robotics and Computer Vision for Intelligent Automation in Industries.- Trending Technologies: Frameworks and Applications focusing Real Life Issues.
• (source: Nielsen Book Data)

This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.
(source: Nielsen Book Data)

• AI Chatbots for Banking: Evolving Trends and Critical Issues
• Traffic Flow Characteristics and Vehicle Road Coordination Improvement in Subterranean Interweaving
• Influential Factors and Implementation Path of Talent Digital Evaluation based on ISM Model: Taking Electric Power Enterprises as an Example
• Knowledge Associated with a Question-Answer Pair
• Research on Low Complexity Differential Space Modulation Detection Algorithm
• Mathematical Model of the Process of Production of Mineral Fertilizers in a Fluidized Bed Granulator
• Simulation Study on Optimization of Passenger Flow Transfer Organization at Nanning Jinhu Square Metro Station based on Anylogic
• Engine Speed Measurement and Control System Design Based on LabVIEW
• Research and Design of Personalized Learning Resources Precise Recommendation System Based on User Profile
• Mixed Parametric and Auto-oscillations at Nonlinear Parametric Excitation
• Spectrum Analysis on Electricity Consumption Periods by Industry in Fujian Province
• Determination of the Form of Vibrations in Vibratory Plow's Moldboard with Piezoceramic Actuator for Maximum Vibration Effect
• Evaluating Usability of E-Learning Applications in Bangladesh: A Semiotic and Heuristic Evaluation Approach
• Perceptual Computing Based Framework for Assessing Organizational Performance According to Industry 5.0 Paradigm
• Petroleum Drilling Monitoring and Optimization: Ranking the Rate of Penetration using Machine Learning Algorithms

This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11-12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering

• Intro
• Contents
• Advances in Natural and Coupled Human-Natural Systems Research
• The Development of Scientific Approaches to Using Land Resources and Agro-Technologies within the Steppe Zone of the Orenburg Pre-urals Region
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Conclusions
• References
• Sustainability of Agriculture: The Vaccine Against Horse Strangles (Adenitis Equorum)
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Economic Systems in the Age of Digital Changes and Unstable Environments

• Strategic Directions for Using the Potential of the Border Position for Sustainable Development of the Region
• 1 Introduction
• 1.1 Potential of Border Position
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• A City-Forming Enterprise as a Subject of Sustainable Social and Economic Development: The Magnitogorsk Metallurgical Complex
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• The Strategy for Sustainable Development of Territorial Entities: Territorial Marketing
• 1 Introduction

• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• The Legal Nature of Capital Shares in the Strategy of Corporate Sustainable Development
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Talent Management for Endogenous Economic Growth
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Legal Forms of Real Estate Development in Sustainable Development of Urban Environment
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion

• 5 Conclusion
• References
• The Human Development Index as the Key Indicator for Measuring the Quality of Life of the Population in Altai Krai
• 1 Introduction
• 2 Materials and Methods
• 3 Results and Discussion
• 4 Conclusion
• References
• Technologies for Organizing Creative Competitions to Support Regional Social Creativity
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Particularities of Remote Work in Modern Conditions
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References

• Characteristic Features of Finance in "Science Cities"
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 4 Discussion
• 5 Conclusion
• References
• Sustainable Development and Need Satisfaction: Political and Economic Aspects
• 1 Introduction
• 2 Materials and Methods
• 3 Results
• 3.1 Interrelation of Sustainable Development and Need Satisfaction
• 3.2 Interrelation of Need Satisfaction Methods and the Development of Public Mechanism Directions
• 3.3 Interrelation of Need Satisfaction Methods and the Main Vectors of Sustainable Development
• 4 Discussion
• 5 Conclusion

This book is a collection of cutting-edge and cross-disciplinary studies on natural, human-made, and coupled human-natural systems, addressing the challenge of developing integrated knowledge from multiple disciplines. The authors explore the structure, function, and dynamic mechanisms of various systems, both natural and human-made, as well as analyze their reciprocal interactions under the concept of coupled human-natural systems. These interactions are used to understand feedback, nonlinearities, thresholds, time lags, legacy effects, and path dependencies, emerging across multiple spatial, temporal, and organizational scales. In other words, this book is a collection of advanced research on unique properties of natural and human-made systems, as well as human-environment dynamics, reciprocal relationships, and cross-scale interactions. The authors outline prospects on building a holistic view of social development and coherent sustainability. Among the topics covered are the following: human networks research; adaptation of local people to social and environmental challenges; coupled dynamics of socioeconomic and environmental systems; critical issues in social science climate change research; education for greater sustainability; peace, justice, and strong institutions; advances in cultural traditions and strategies for social stability; innovative development and barriers to sustainable development; economic systems in the age of digital changes and unstable external environments. The scholars analyze how more effective technologies can enhance resilience, reduce vulnerability, and minimize human impacts on natural systems, taking into consideration critical thresholds to prevent harmful feedback to human systems. The authors grasp the complexity of systems by integrating knowledge of constituent subsystems and their interactions. The framework developed by the authors is used to integrate human and natural systems for achieving greater sustainability, covering critical threats, challenges, and best governance approaches and practices. The research results obtained from studies on coupled human-natural systems are stronger, the authors argue, if compared with traditional (discipline) approaches.

• Perceiving AI through a humanistic lens
• Intricate intersections : AI's diversity and governance crises
• AI ethics in and for Africa : some preliminary thoughts
• (Mis)perceptions of AI in Africa : metaphors, myths, and realities
• Digital citizenship in Africa : contestations and innovations in the context of AI
• AI and the labour sector in Africa : disruptive or transformative?
• Machine learning, deep learning, text mining and computer vision in Africa : deployments and challenges

• Preface
• Introduction
• PART I: CULTURAL IMPACT
• 1 Indiana Reads Alexander von Humboldt
• 2 Alexander von Humboldt: Between Enlightenment Vitalism and Romantic Naturphilosophie
• 3 Alexander von Humboldt and Peter Schlemihl: The Image of the Scientific Explorer in Early Nineteenth-Century German Literature
• 4 The Meeting of Two Alexanders: Causes and Consequences of Humboldt's and Pushkin's Mutual Admiration
• PART II: ON NATURE AND ENVIRONMENT
• 5 Alexander von Humboldt's Environmental Holism

• 6 Alexander von Humboldt's Lonely Parrot in Views of Nature
• 7 Re-Rivering New Spain: Transatlantic Politics of Knowledge and Water in Alexander von Humboldt
• PART III: HUMBOLDT FROM ART TO SCIENCE AND SCIENCE AS ART
• 8 Beseelte Natur: Alexander von Humboldt and Data-Driven Paradigm Segues
• 9 Alexander von Humboldt beyond Planet Earth: Exploring the Infinite and Unreachable in Kosmos
• 10 Art and Aesthetics in Alexander von Humboldt: The Subterranean Tree and Other Images
• Biographies of Contributors
• Index

"Alexander von Humboldt: Perceiving the World provides an interdisciplinary exploration into Humboldt's approach to seeing and describing the many subjects he pursued. Though remembered primarily as an environmental thinker, Humboldt's interests were vast and documented not just in his published works, but also in his extensive correspondence with scientists, artists, poets, and philosophers internationally. Perceiving the World covers Humboldt's perceptions during intercontinental travels and scientific discoveries, as well as how he visualized nature, geography, environments, and diverse cultures, including Indigenous Peoples. This collection draws heavily on the English translations of Humboldt's work housed in the Purdue University Archives, which were collected by John Purdue. The book is divided into three parts: Humboldt's contributions to science since the nineteenth century; his work on nature, climates, environments, and the cosmos; and his lasting cultural impact, including his imaging techniques, modes of visual presentation, and contributions to the arts. Humboldt's intricate approach to perception still resonates today, as his nuanced and unique way of seeing the world was just as important as what he wrote"-- Provided by publisher.

• Intro
• Preface
• Towards a Characterization
• History andWorking Groups
• Problems with the Term ""Artificial Intelligence
• Problems with the Term ""Computational Intelligence
• Algorithmic Intelligence: Towards a Trade-off
• Organization of the Book
• Basics
• Big Data
• Research Areas
• Application Areas
• Contents
• Part I Basics
• Chapter 1 Programming Primer
• 1.1 Recursion
• 1.1.1 Divide-and-Conquer
• 1.1.2 Recursion on Texts
• 1.1.3 Factorial Numbers
• 1.1.4 Fibonacci Numbers
• 1.1.5 Ackermann Numbers
• 1.1.6 Ulam Numbers
• 1.2 Calculus
• 1.2.1 Square Roots

• 1.2.2 Euclid's Algorithm
• 1.2.3 Pascal's Triangle
• 1.2.4 Prime Factorization
• 1.2.5 Gaussian Elimination
• 1.2.6 Min-Max Problem
• 1.2.7 Quickselect and Quicksort
• 1.3 Backtracking
• 1.3.1 Post's Correspondence Problem
• 1.3.2 Towers-of-Hanoi
• 1.3.3 Mazes
• 1.3.4 The Queens Problem
• 1.3.5 Sudoku
• 1.4 Heuristic Search
• 1.4.1 Number Partitioning
• 1.4.2 The 15-Puzzle
• 1.4.3 Ranking and Unranking
• 1.4.4 Peg Solitaire
• 1.4.5 Traveling Salesman Problem
• 1.5 Randomization
• 1.5.1 Randomized Prime Number Tests
• 1.5.2 Mister X
• 1.5.3 Mastermind
• 1.5.4 Nim

• 1.5.5 Snake
• 1.5.6 PacMan
• 1.6 Bibliographic Notes
• Chapter 2 Shortest Paths
• 2.1 Introduction
• 2.2 Dijkstra's Algorithm
• 2.3 General Priority Queues
• 2.3.1 k-ary Heaps
• 2.3.2 Fibonacci Heaps
• 2.3.3 Pairing Heaps
• 2.4 Bucket Priority Queues
• 2.4.1 Radix Heaps
• 2.4.2 Bucket Maps
• 2.4.3 Factorized Heaps
• 2.5 Cache-Efficient Flood-Filling
• 2.6 Experiments
• 2.7 Summary
• 2.8 Bibliographic Notes
• Chapter 3 Sorting
• 3.1 Introduction
• 3.2 Heapsort
• 3.3 Strong Heapsort
• 3.3.1 Strong Heap Construction
• 3.3.2 Sorting with Strengthened Heaps

• 3.4 Improving Quicksort
• 3.5 Block Quicksort
• 3.6 Quick Mergesort
• QuickXSort
• QuickMergesort
• 3.7 Summary
• 3.8 Bibliographic Notes
• Chapter 4 Deep Learning
• 4.1 Introduction
• 4.2 Case Study: TicTacToe
• 4.3 Case Study: Same Game
• 4.4 Case Study: Sokoban
• 4.4.1 Designing Loss Functions
• 4.4.2 Definition of L*
• 4.5 Greedy Best-First Search: Optimizing Rank
• 4.6 Summary
• 4.7 Bibliographic Notes
• Chapter 5 Monte-Carlo Search
• 5.1 Introduction
• 5.2 Monte-Carlo Search
• 5.2.1 Upper Confidence Bounds Applied to Trees
• 5.2.2 Parallel Monte-Carlo Search

• 5.2.3 Nested Monte-Carlo
• 5.2.4 Nested Rollout Policy Adaptation
• 5.3 Beam NRPA
• 5.4 Refinements
• 5.5 Improving the Diversity
• 5.5.1 Improving Diversity in the NRPA Driver
• 5.5.2 Improving Diversity in the Policy Adaptation
• 5.6 Case Study: SameGame
• 5.7 Case Study: Snake-in-the-Box
• 5.8 Case Study: Vehicle Routing
• 5.9 Summary
• 5.10 Bibliographic Notes
• Part II Big Data
• Chapter 6 Graph Data
• 6.1 Introduction
• 6.2 Mathematical Encoding
• 6.3 PDDL Encodings
• 6.4 SAT Encodings
• 6.5 Game Encodings
• 6.6 Experiments
• 6.6.1 Clique
• 6.6.2 Graph Coloring

In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search. A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data. The highly topical research areas detailed in Part III are machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. Finally, in Part IV the author uses application areas such as model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production to explain how the techniques described may be exploited in modern settings. The book is supported with a comprehensive index and references, and it will be of value to researchers, practitioners, and students in the areas of artificial intelligence and computational intelligence.

• Frontmatter
• Contents
• Introduction
• 1 The Politics of Machine Learning I
• 2 Fairness
• 3 Discrimination
• 4 Political Equality
• 5 Facebook and Google (The Politics of Machine Learning II)
• 6 Infrastructural Power
• 7 Democratic Utilities
• 8 Regulating for Democracy
• Conclusion
• Acknowledgments
• Notes
• Index
• A NOTE ON THE TYPE

Liba Taub gives an overview of the major developments in early science between the 8th century BC and 6th century AD. Focusing on Greece and Rome, she discusses the key thinkers and their theories, and traces the evolution of ideas concerning the natural world and its operation, and considers the influence these ideas have had on later centuries

• Advances in the use of artificial intelligence and sensor technologies for managing industrial workplace safety
• Implementation of deep learning to prevent peak-driven power outages within manufacturing systems
• Reproductive autonomy conformity assessment of purposed AI system
• The projects evaluation and selection by using MCDM and intuitionistic fuzzy sets
• Cost effectiveness analysis of real and in silico clinical trials for stent deployment based on decision tree.

The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 1920, 2022.

• Introduction
• "Extension, expansion et débats : douze regards sur soixante ans d'histoire des sciences à l'âge de la big science et des nouvelles technologies"
• Emanuel Bertrand, Wolf Feuerhahn
• 1. Bertrand Saint-Sernin. "La nécessité des choix"
• 2. Daniel Roche. "En marge mais avec : un rapport singulier à l'Histoire des Sciences"
• 3. Roshdi Rashed. "L'histoire des sciences sans miracle"
• 4. Victor Karady. "Apprentissages"
• 5. Anne Fagot-Largeault. "Un cheminement en histoire (et philosophie) des sciences de la côte ouest des États-Unis à la région parisienne, 1967-2015"
• 6. Denis Woronoff. "Techniques et industrialisation"
• 7. Jean-Marc Lévy-Leblond. "De l'engagement politique à la critique de sciences (et retour)"
• 8. Hourya Benis-Sinaceur. "Un regard philosophique"
• 9. Jean-Pierre Dupuy. "L'émergence, l'épanouissement et le déclin d'une idée majeure dans l'histoire des sciences et des techniques : un ordre sans designer"
• 10. Jean Dhombres. "Venir à l'histoire des sciences dans les années 1970"
• 11. Christian Topalov. "Une histoire des sciences sociales en société"
• 12. Entretien avec Michel Serres. "De cinq à cinq milliards d'épistémologues"
• Postface
• "L'histoire des sciences, une auberge espagnole ?"
• Emanuel Bertrand, Wolf Feuerhahn.

"Le développement des sciences et des techniques a profondément affecté et orienté celui des sociétés contemporaines, au point qu'il n'est aujourd'hui plus possible d'appréhender l'un sans l'autre. Arpenter l'histoire des sciences entreprend de décrire les différentes formes de ce développement, à partir de douze témoignages autobiographiques d'acteurs et témoins privilégiés des mutations du champ de l'histoire des sciences et des techniques depuis la seconde moitié du XXe siècle. Depuis une soixantaine d'années, l'histoire des sciences a vu son domaine s'élargir : le nombre des acteurs n'a cessé de croître, les méthodes d'investigation se sont multipliées et différenciées, les objets d'étude se sont considérablement diversifiés. Surtout, ce qui était un domaine très spécifique, voire marginal, est devenu central dans les sciences humaines et sociales. En complément des onze premiers témoignages, écrits spécifiquement pour cet ouvrage, le lecteur trouvera en fin de volume un entretien inédit avec le philosophe Michel Serres, disparu en 2019."--Page 4 of cover.

• Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial)
• Agents/Case Based Reasoning/Sentiment Analysis
• Biomedical - Image Analysis
• CNN - Convolutional Neural Networks YOLO CNN
• Cyber Security/Anomaly Detection
• Explainable AI/Social Impact of AI
• Graph Neural Networks/Constraint Programming
• IoT/Fuzzy Modeling/Augmented Reality
• LEARNING (Active-AutoEncoders-Federated)
• Machine Learning
• Natural Language
• Optimization-Genetic Programming
• Robotics
• Spiking NN
• and Text Mining /Transfer Learning.

This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14-17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.

• Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial)
• Agents/Case Based Reasoning/Sentiment Analysis
• Biomedical - Image Analysis
• CNN - Convolutional Neural Networks YOLO CNN
• Cyber Security/Anomaly Detection
• Explainable AI/Social Impact of AI
• Graph Neural Networks/Constraint Programming
• IoT/Fuzzy Modeling/Augmented Reality
• LEARNING (Active-AutoEncoders-Federated)
• Machine Learning
• Natural Language
• Optimization-Genetic Programming
• Robotics
• Spiking NN
• and Text Mining /Transfer Learning.

This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14-17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.

• 8th Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2023)
• Second Workshop on AI in Energy, Buildings and Micro-Grids (AIBMG 2023)
• 12th Workshop on Mining Humanistic Data (MHDW 2023)
• First Workshop on Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB 2023).

This book constitutes the refereed proceedings of four International Workshops, held as parallel events of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14-17, 2023.