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Hybrid Intelligent Systems: 17th International Conference On Hybrid Intelligent Systems (his 2017) Held In Delhi, India, December 14-16 2017 (Advances In Intelligent Systems And Computing #734)
by Ajith Abraham Azah Kamilah Muda Niketa Gandhi Pranab Kr. MuhuriThis book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017. Reflecting the awareness in the respective academic communities that combined approaches are essential to solving the remaining tough problems in computational intelligence, the HIS is a premier conference focused on the hybridization of intelligent systems. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Hybrid Intelligent Systems: 18th International Conference on Hybrid Intelligent Systems (HIS 2018) Held in Porto, Portugal, December 13-15, 2018 (Advances in Intelligent Systems and Computing #923)
by Ajith Abraham Ana Maria Madureira Niketa Gandhi Maria Leonilde VarelaThis book highlights recent research on Hybrid Intelligent Systems and their various practical applications. It presents 56 selected papers from the 18th International Conference on Hybrid Intelligent Systems (HIS 2018), which was held at the Instituto Superior de Engenharia do Porto (ISEP), Porto, Portugal from December 13 to 15, 2018. A premier conference in the field of Artificial Intelligence, HIS 2018 brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Hybrid Intelligent Systems: 19th International Conference on Hybrid Intelligent Systems (HIS 2019) held in Bhopal, India, December 10-12, 2019 (Advances in Intelligent Systems and Computing #1179)
by Ajith Abraham Maria Leonilde Varela Shishir K. Shandilya Laura Garcia-HernandezThis book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 34 selected papers from the 18th International Conference on Hybrid Intelligent Systems (HIS 2019) and 9 papers from the 15th International Conference on Information Assurance and Security (IAS 2019), which was held at VIT Bhopal University, India, from December 10 to 12, 2019. A premier conference in the field of artificial intelligence, HIS - IAS 2019 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Hybrid Intelligent Systems: 20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020 (Advances in Intelligent Systems and Computing #1375)
by Ajith Abraham Oscar Castillo Thomas Hanne Tzung-Pei Hong Niketa Gandhi Tatiane Nogueira RiosThis book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.
Hybrid Intelligent Systems: 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14–16, 2021 (Lecture Notes in Networks and Systems #420)
by Ajith Abraham Oscar Castillo Vincenzo Piuri Patrick Siarry Niketa Gandhi Gabriella Casalino Patrick HungThis book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 45 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and 16 papers from the 17th International Conference on Information Assurance and Security, which was held online, from December 14 to 16, 2021. A premier conference in the field of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Hybrid Intelligent Systems: 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022 (Lecture Notes in Networks and Systems #647)
by Ajith Abraham Tzung-Pei Hong Kun Ma Niketa Gandhi Ketan Kotecha Pooja Manghirmalani MishraThis book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 97 selected papers from the 22nd International Conference on Hybrid Intelligent Systems (HIS 2022) and 26 papers from the 18th International Conference on Information Assurance and Security, which was held online, from 13 to 15 December 2022. A premier conference in the field of artificial intelligence and machine learning applications, HIS–IAS 2022, brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 35 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 1: Healthcare Applications (Lecture Notes in Networks and Systems #1223)
by Ajith Abraham Ana Maria Madureira Anu BajajThis book presents 48 selected papers focused on Health Care Applications from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all medical doctors, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and smart health care.
Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 2: Large Language Models and Machine Learning (Lecture Notes in Networks and Systems #1224)
by Ajith Abraham Ana Maria Madureira Anu BajajThis book presents 48 selected papers focused on Large Language Models and Machine Learning from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and deep learning.
Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 3: Information Assurance and Security (Lecture Notes in Networks and Systems #1225)
by Ajith Abraham Pooja Manghirmalani Mishra Anu BajajThis book presents 48 selected papers focused on Information and Network Security from the 23rd International Conference on Hybrid Intelligent Systems and 19th International Conference on Information Assurance and Security (IAS 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS-IAS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all network and security specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and information/network security.
Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 4: Machine Learning Applications (Lecture Notes in Networks and Systems #1226)
by Ajith Abraham Cengiz Kahraman Pooja Manghirmalani Mishra Anu BajajThis book presents 48 selected papers focused on Machine Learning Based Solutions from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all industrial specialists, scientists, academicians, researchers, students, and practitioners in the field of machine learning and industrial applications.
Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 5: Real World Applications (Lecture Notes in Networks and Systems #1227)
by Ajith Abraham Cengiz Kahraman Ana Maria Madureira Anu BajajThis book presents 48 selected papers focused on Real World Applications from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (HIS 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. HIS 2023 had contributions by authors from 44 countries. This book offers a valuable reference guide for all specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and real-world applications.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding
by Siddhartha Bhattacharyya Paramartha Dutta Anirban Mukherjee Indrajit Pan Arup Kumar BhaumikHybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Hybrid Intelligent Technologies in Energy Demand Forecasting
by Wei-Chiang HongThis book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.
Hybrid Language Teaching in Practice
by Stacey Margarita Johnson Berta CarrascoThis book allows readers to explore the inner workings of a hybrid class from the perspectives of two instructors with different pedagogical orientations, from the students' perspectives, including learning outcomes and immediately practical teaching tools. The authors meet the challenge of how to preserve pedagogy and content while making good use of digital tools and online opportunities. Language teachers at the secondary and postsecondary level will enjoy the authors' first person narrative of the creation of a pedagogically-sound hybrid course, practical examples from their courses, as well as student learning outcomes and feedback on the various technological activities. During a year-long study of the authors' hybrid courses they used a mixed methods design to answers these questions: How does a hybrid course change our teaching? How does the hybrid course affect student learning experiences? What technology-based activities are most effective in our hybrid course'.
Hybrid Learning Spaces (Understanding Teaching-Learning Practice)
by Yishay Mor Einat Gil Yannis Dimitriadis Christian KöppeAs we have come to accept the duality of physical and virtual learning spaces as a permanent feature of our educational landscape, we begin to question its validity. Is this really a dichotomy, or is it a continuum? Should this be the primary dimension around which we cluster educational experiences - how does it intersect and interact with other axes, such as formal-informal, vocational-recreational, open-closed, teacher-student? How do we adapt, as teachers, learners, designers, policy makers, to this changing landscape? How do we shape it to offer an optimal learning experience? Such questions led us to conduct a series of academic and professional events on the theme of Hybrid Learning Spaces (HLS) - spaces which challenge and defy the dichotomies above. This edited book collates some of the products of that endeavor, offering a multi-vocal, interdisciplinary approach to hybridity in education. It connects practical examples, design directives and theoretical analysis, combining perspectives from technology research and development, educational theory and practice, architecture and space and product design. This book addresses researchers, practitioners, innovators and policy makers in education, technology and design, offering broad perspectives and then distilling practical insights in the form of design principles and patterns, pedagogical models, and predictions of future trends.
Hybrid Learning: Innovation in Educational Practices
by Simon K.S. Cheung Lam-For Kwok Harrison Yang Joseph Fong Reggie KwanThis book constitutes the refereed proceedings of the 8th International Conference on Hybrid Learning, ICHL 2015, held in Wuhan, China, in July 2015. The 35 papers presented were carefully reviewed and selected from 104 submissions. The selected papers cover various aspects on experiences in hybrid learning, computer supported collaborative learning, improved flexibility of learning processes, learning styles and behaviours, and pedagogical and other issues.
Hybrid Machine Intelligence for Medical Image Analysis (Studies in Computational Intelligence #841)
by Kalpana Sharma Siddhartha Bhattacharyya Debanjan Konar Jan Platos Chinmoy KarThe book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Hybrid Media Activism: Ecologies, Imaginaries, Algorithms (Routledge Studies in Radical History and Politics)
by Emiliano TreréThis book is an extensive investigation of the complexities, ambiguities and shortcomings of contemporary digital activism. The author deconstructs the reductionism of the literature on social movements and communication, proposing a new conceptual vocabulary based on practices, ecologies, imaginaries and algorithms to account for the communicative complexity of protest movements. Drawing on extensive fieldwork on social movements, collectives and political parties in Spain, Italy and Mexico, this book disentangles the hybrid nature of contemporary activism. It shows how activists operate merging the physical and the digital, the human and the non-human, the old and the new, the internal and the external, the corporate and the alternative. The author illustrates the ambivalent character of contemporary digital activism, demonstrating that media imaginaries can be either used to conceal authoritarianism, or to reimagine democracy. The book looks at both side of algorithmic power, shedding light on strategies of repression and propaganda, and scrutinizing manifestations of algorithms as appropriation and resistance. The author analyses the way in which digital activism is not an immediate solution to intricate political problems, and argues that it can only be effective when a set of favourable social, political, and cultural conditions align. Assessing whether digital activism can generate and sustain long-term processes of social and political change, this book will be of interest to students and scholars researching radical politics, social movements, digital activism, political participation and current affairs more generally.
Hybrid Metaheuristics
by Angelo Cangelosi Christian Blum Maria J. Blesa Vincenzo Cutello Alessandro Di Nuovo Mario Pavone El-Ghazali TalbiThis book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions. The selected papers are of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction problems. They represent as well a sample of current research demonstrating how metaheuristics can be integrated with integer linear programming and other operational research techniques for tackling difficult and relevant problems.
Hybrid Metaheuristics for Image Analysis
by Siddhartha BhattacharyyaThis book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.
Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications (Studies in Systems, Decision and Control #480)
by Gebrail Bekdaş Sinan Melih NigdeliFrom the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.
Hybrid Metaheuristics: 11th International Workshop, HM 2019, Concepción, Chile, January 16–18, 2019, Proceedings (Lecture Notes in Computer Science #11299)
by Christian Blum Maria J. Blesa Aguilera Haroldo Gambini Santos Pedro Pinacho-Davidson Julio Godoy del CampoThis book constitutes the refereed proceedings of the 11th International Workshop on Hybrid Metaheuristics, HM 2019, held in Concepción, Chile, in January 2019. The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions. The papers present hybridization strategies and explore the integration of new techniques coming from other areas of expertise. They cover a variety of topics such as low-level hybridization, high-level hybridization, portfolio techniques, cooperative search, and theoretical aspects of hybridization.
Hybrid Methods for Modeling and Optimizing Complex Systems: Advances in Interdisciplinary Approaches for Complex Problem Solving (Lecture Notes in Networks and Systems #1481)
by Predrag S. Stanimirović Spyridon D. Mourtas Jajati Keshari SahooDelivering innovative methods for addressing complex systems, this book presents the latest advances in hybrid modeling, machine learning, and digital technologies. Based on selected papers from the III International Workshop &“Hybrid Methods of Modeling and Optimization in Complex Systems&” held December 2–4, 2024, in Krasnoyarsk, Russia, the book covers hybrid modeling and optimization, intelligent data analysis, financial forecasting, industrial and educational digitalization, AI-guided decision support, and digital system security. Readers will find such interdisciplinary applications as climate project modeling, agricultural digital services, and the digital platform economy; e-learning analysis and digital competence development; digital twins and production optimization; as well as research on network systems. It is essential for researchers, practitioners, and educators seeking practical solutions and advanced hybrid methods for diverse scientific and engineering challenges.
Hybrid Modeling and Optimization of Manufacturing
by J. Paulo Davim Omar López-Armas Ramón QuizaArtificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.
Hybrid Modeling and Simulation: Conceptualizations, Methods and Applications (Simulation Foundations, Methods and Applications)
by Navonil Mustafee Masoud FakhimiThe unique book advances understanding of modelling complex systems using hybrid approaches that combine discrete-event, agent-based, and system dynamic simulations with research approaches and artefacts from other scientific disciplines. As systems become increasingly large and complex, it is a challenge to capture the intricacies of the underlying system and offer novel forms of analysis using only models that employ a single simulation technique. The book underscores the importance of both hybrid simulation (employing techniques primarily developed in the field of modelling and simulation) and hybrid modelling (incorporating simulation with methods from wider disciplines such as applied computing, data science, engineering, and soft/qualitative operations research). Furthermore, the text aims to inspire further research and practice, fostering the growth of cross-disciplinary hybrid models. Topics and features: Provides a comprehensive overview of hybrid modelling and simulation, including methodological extensions and novel applications Features case studies and examples demonstrating the synergy realized by applying hybrid methods Calls for innovation and growth of the discipline by incorporating diverse scientific perspectives Encourages adoption of interdisciplinary methods to engender improved insights from simulation studies Promotes interdisciplinary collaboration, pushing modelling and simulation into new research and application areas This comprehensive volume will appeal to researchers, academics, students, and practitioners who seek to advance their modelling and simulation work. The book also will serve as a reference, informing research communities of the potential of hybrid models that combine simulation with disciplinary research artefacts, methods, and approaches.