This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.

This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter "Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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.

Modernism and the Anthropocene explores twentieth-century literature as it engages with the non-human world across a range of contexts. From familiar modernist works by D.H. Lawrence and Hart Crane to still-emergent genres like comics and speculative fiction, this volume tackles a series of related questions regarding how best to understand humanity’s increasing domination of the natural world.

The Handbook of Research on Teacher Education was initiated to ferment change in education based on solid evidence. The publication of the First Edition was a signal event in 1990. While the preparation of educators was then - and continues to be - the topic of substantial discussion, there did not exist a codification of the best that was known at the time about teacher education. Reflecting the needs of educators today, the Third Edition takes a new approach to achieving the same purpose. Beyond simply conceptualizing the broad landscape of teacher education and providing comprehensive reviews of the latest research for major domains of practice, this edition: stimulates a broad conversation about foundational issues; brings multiple perspectives to bear; provides new specificity to topics that have been undifferentiated in the past; and includes diverse voices in the conversation. The Editors, with an Advisory Board, identified nine foundational issues and translated them into a set of focal questions: What's the Point?: The Purposes of Teacher Education What Should Teachers Know? Teacher Capacities: Knowledge, Beliefs, Skills, and Commitments Where Should Teachers Be Taught? Settings and Roles in Teacher Education Who Teaches? Who Should Teach? Teacher Recruitment, Selection, and Retention Does Difference Make a Difference? Diversity and Teacher Education How Do People Learn to Teach? Who's in Charge? Authority in Teacher Education How Do We Know What We Know? Research and Teacher Education What Good is Teacher Education? The Place of Teacher Education in Teachers' Education Co-Published by Routledge/Taylor & Francis Group and the Association of Teacher Educators. The Association ofTeacher Educators (ATE) is an individual membership organization devoted solely to the improvement of teacher education both for school-based and post secondary teacher educators. For more information on our organization and publications, please visit: www.ate1.org/ .

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

Modernism and the Anthropocene explores twentieth-century literature as it engages with the non-human world across a range of contexts. From more familiar modernist works by D.H. Lawrence and Hart Crane to still-emergent genres like comics and speculative fiction, this volume tackles a series of related questions regarding how best to understand humanity's increasing domination of the natural world.

Critically and comprehensively examining the works of Habermas and Foucault, two giants of 20th century continental philosophy, this book illuminates the effects of scientific reason as it migrates from its specialized institutions into society. It explores how science permeates shared human consciousness, to produce effects that ripple through the entire social body to restructure relations between discourses, institutions, and power in ways which we are barely conscious of. The book shows how science, through its entwinement with power, politics, discourses, and practices, presents certain social arrangements as natural and certain courses of action as beyond question. By arguing for a non-reductive, liberal scientific naturalism that sees science as one form of rationality amongst others, it opens possibilities for thought and action beyond scientific knowledge. The book analyses the work of Foucault and Habermas in terms of their social, political, and historical contexts. It examines science in relation to society, power, and discourses and their shifting historical relations. But rather than withdrawing from normative dimensions by merely describing scientific practices within their contexts, McIntyre explicitly opens the normative question of the good life and the good society. He thus simultaneously raises the question of philosophy and how philosophical critique is both directed towards science and, at the same time, must accommodate it. Foucault and Habermas emerge as linked by a commitment to the Enlightenment tradition and its emancipatory telos which underlies their work. The significant differences between the two thinkers are seen to result from Foucault's radicalization of this tradition, a radicalization which is, at the same time, implicit within the Enlightenment project itself.

This book contains the proceedings of the 22nd EANN "Engineering Applications of Neural Networks" 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent - long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

This book constitutes the refereed proceedings of five International Workshops held as parallel events of the 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022, virtually and in Hersonissos, Crete, Greece, in June 2022: the 11th Mining Humanistic Data Workshop (MHDW 2022); the 7th 5G-Putting Intelligence to the Network Edge Workshop (5G-PINE 2022); the 1st workshop on AI in Energy, Building and Micro-Grids (AIBMG 2022); the 1st Workshop/Special Session on Machine Learning and Big Data in Health Care (ML@HC 2022); and the 2nd Workshop on Artificial Intelligence in Biomedical Engineering and Informatics (AIBEI 2022). The 35 full papers presented at these workshops were carefully reviewed and selected from 74 submissions.

The Handbook of Research on Teacher Education was initiated to ferment change in education based on solid evidence. The publication of the First Edition was a signal event in 1990. While the preparation of educators was then - and continues to be - the topic of substantial discussion, there did not exist a codification of the best that was known at the time about teacher education. Reflecting the needs of educators today, the Third Edition takes a new approach to achieving the same purpose. Beyond simply conceptualizing the broad landscape of teacher education and providing comprehensive reviews of the latest research for major domains of practice, this edition: stimulates a broad conversation about foundational issues; brings multiple perspectives to bear; provides new specificity to topics that have been undifferentiated in the past; and includes diverse voices in the conversation. The Editors, with an Advisory Board, identified nine foundational issues and translated them into a set of focal questions: What's the Point?: The Purposes of Teacher Education What Should Teachers Know? Teacher Capacities: Knowledge, Beliefs, Skills, and Commitments Where Should Teachers Be Taught? Settings and Roles in Teacher Education Who Teaches? Who Should Teach? Teacher Recruitment, Selection, and Retention Does Difference Make a Difference? Diversity and Teacher Education How Do People Learn to Teach? Who's in Charge? Authority in Teacher Education How Do We Know What We Know? Research and Teacher Education What Good is Teacher Education? The Place of Teacher Education in Teachers' Education Co-Published by Routledge/Taylor & Francis Group and the Association of Teacher Educators. The Association ofTeacher Educators (ATE) is an individual membership organization devoted solely to the improvement of teacher education both for school-based and post secondary teacher educators. For more information on our organization and publications, please visit: www.ate1.org/ .

This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.

This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter "Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This new volume, written by 13 recognized experts in their fields, is the first work to simultaneously investigate three major contexts in which technology transfer occurs--North-South, West-West, and East-West--and to bring together state of the art findings in this crucial issue. Drawn from papers prepared for a recent international conference on technology transfer, it includes the work of distinguished academicians, officials of government and international bodies, technical experts, corporate executives, and international lawyers. In the opening section, four specialists consider the transfer process from the vantage point of particular disciplines--economics, political science, law, and history--offering an integrative framework and principles instead of the usual narrow political or economic analysis. The second group of essays deals with North-South technology relations, stressing the role of technology in development, the prospects for the creation of scientific and technological capabilities in developing countries, and the central role of technology transfer in the agricultural/political economy of the Third World. The section on West-West transfers focuses on technological relations among industrialized nations, the status of Japan as a technological power, the interaction of science and technology, and the rule of multinational corporations. The final section investigates the strategic and military dimensions of technology transfer with Communist bloc nations. Three important topics are discussed: Western technology trade control policies toward the Communist block; the impact of Western technology on Soviet bloc countries; and China's emerging technology relations with the United States and other industrialized nations. A critical overview assesses the role of technology transfer in the overall technological process as well as in international affairs. Up-to-date bibliographies for each section makes the volume especially useful as a research tool for scholars and practitioners in the field.

The chapters in this Yearbook are examples of ways to study the power of teacher education. They describe practices of teacher education based on theory, research, and experience and then assess influences of these practices. These research findings become part of the knowledge base on good teacher education.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

This book brings together experts and analysts in international space policy from academia, government, and corporations, and from the technical and legal spheres. It was felt that this broad cross section of expertise would result in the miltidimensional and multidisciplinary treatment this complex issue requires. This volume provides a valuable mix of perspectives by experts examining the important issues of this new era of space exploration.

Focusing on the education of teachers in the United States, this volume addresses the areas of context, process, curriculum and communication.

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.