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Proceedings of Fourth Doctoral Symposium on Computational Intelligence: DoSCI 2023 (Lecture Notes in Networks and Systems #726)
by Abhishek Swaroop Vineet Kansal Giancarlo Fortino Aboul Ella HassanienThis book features high-quality research papers presented at Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 3, 2023. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making
Cross-Technology Communication for Internet of Things: Fundamentals and Key Technologies
by Xiuzhen Guo Yuan He Yunhao LiuCross-technology communication (CTC) is a technology that enables direct communication between heterogeneous devices that use different wireless standards. It works like a “translator” between two or more wireless technologies. CTC not only creates a new avenue for inter-operation and data exchange between wireless devices but also enhances the ability to manage wireless networks. This book focuses on the enabling technology CTC and introduces readers to a variety of CTC techniques in heterogeneous wireless networks. These techniques can be divided into two categories: packet-level CTCs based on energy modulation and channel intervention; and physical-level CTCs based on cross-demapping, digital emulation, and split encoding. The book offers a comprehensive comparison and analysis, granting readers a deeper understanding of CTC techniques in terms of throughput, reliability, hardware modification, and concurrency. Moreover, it highlights upper-layer CTC application scenarios and cutting-edge developments, which include but are not limited to interference management, channel quality estimation, network routing, etc. The book is intended for all readers – e.g., researchers, students, and even professionals – who are interested in the areas of wireless networking, wireless communication, mobile computing, and Internet of Things. The findings and summaries presented here can help: 1) guide researchers to rethink CTC techniques in connection with design methodology; 2) further advance the infrastructure of future IoT by introducing CTC; and 3) enable important IoT applications by delivering ubiquitous network connectivity.
Machine Learning Contests: A Guidebook
by Wang He Peng Liu Qian QianThis book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2023 (Lecture Notes in Networks and Systems #725)
by Asit Kumar Das Janmenjoy Nayak Bighnaraj Naik S. Vimal Danilo PelusiThis book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems (Advanced and Intelligent Manufacturing in China)
by Chuan He Changhua HuImage denoising, image deblurring, image inpainting, super-resolution, and compressed sensing reconstruction have important application value in engineering practice, and they are also the hot frontiers in the field of image processing. This book focuses on the numerical analysis of ill condition of imaging inverse problems and the methods of solving imaging inverse problems based on operator splitting. Both algorithmic theory and numerical experiments have been addressed. The book is divided into six chapters, including preparatory knowledge, ill-condition numerical analysis and regularization method of imaging inverse problems, adaptive regularization parameter estimation, and parallel solution methods of imaging inverse problem based on operator splitting. Although the research methods in this book take image denoising, deblurring, inpainting, and compressed sensing reconstruction as examples, they can also be extended to image processing problems such as image segmentation, hyperspectral decomposition, and image compression. This book can benefit teachers and graduate students in colleges and universities, or be used as a reference for self-study or further study of image processing technology engineers.
Computer Vision and Machine Learning in Agriculture, Volume 3 (Algorithms for Intelligent Systems)
by Jagdish Chand Bansal Mohammad Shorif UddinThis book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
ICT with Intelligent Applications: ICTIS 2023, Volume 1 (Lecture Notes in Networks and Systems #719)
by Jyoti Choudrie Parikshit N. Mahalle Thinagaran Perumal Amit JoshiThis book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
IOT with Smart Systems: ICTIS 2023, Volume 2 (Lecture Notes in Networks and Systems #720)
by Jyoti Choudrie Parikshit N. Mahalle Thinagaran Perumal Amit JoshiThis book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Deep Learning Applications in Image Analysis (Studies in Big Data #129)
by Sanjiban Sekhar Roy Ching-Hsien Hsu Venkateshwara KagitaThis book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3.The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing deep learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of deep learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of deep learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of deep learning applications in image analysis.
Esports in the Asia-Pacific: Ecosystem, Communities, and Identities (Palgrave Series in Asia and Pacific Studies)
by Filippo Gilardi Paul MartinThis is an edited book that fills a gap in knowledge by providing a comprehensive view of esports practice from the Asia and Pacific region. The volume looks at the development of esports through the interconnections between institutions, industries, players, and society, across the Asia-Pacific. Over the last two decades, the Asia-Pacific region has been central to the growth and development of esports. The value of this book lies in its ability to provide a view of esport from countries that are currently underrepresented in the literature such as Vietnam, Malaysia, Taiwan, Hong Kong, Singapore, Philippines and Australia while still integrating chapters looking at more well-researched countries such as China, Korea, and Japan. Through its diverse case studies, the book serves as a resource for scholars and educators worldwide who seek diverse examples with which to improve understanding of the esports phenomenon and the inclusiveness of media and communication curricula. chapters “Introduction to Esports in the Asia-Pacific” and “Conclusions to Esports in the Asia–Pacific” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Handbook of Evolutionary Machine Learning (Genetic and Evolutionary Computation)
by Wolfgang Banzhaf Penousal Machado Mengjie ZhangThis book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.
WAIC and WBIC with R Stan: 100 Exercises for Building Logic
by Joe SuzukiMaster the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. This book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in R and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory.The key features of this indispensable book include:A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise.100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.Detailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented.A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting.Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!
WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
by Joe SuzukiMaster the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory.The key features of this indispensable book include:A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise.100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension.A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians.Detailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented.A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting.Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!
Advancement in Power Transformer Infrastructure and Digital Protection (Studies in Infrastructure and Control)
by Nilesh Chothani Maulik Raichura Dharmesh PatelThis book provides an overview of a power transformer infrastructure and comprehensive digital protection of it. It presents various protective methodologies available to protect the transformer from disturbances by taking care of mal-operation due to external disturbances and providing fine protection to the transformer. Though there are many protection methodologies available in the practice. However, these existing methodologies may mal-operate during external disturbances such as inrush, over-fluxing and short circuits. Hence, further research is needed in addition to the existing methods of protection in terms of more fault prediction accuracy, speedy operation, and lower protection cost with zero error in the detection of faults. The book will be useful reference for practitioners from academia and industrial applications.
Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 (Lecture Notes in Networks and Systems #727)
by Khalid Saeed Nabendu Chaki Nilanjana Dutta Roy Papiya DebnathThe book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11–13, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.
Intent Recognition for Human-Machine Interactions (SpringerBriefs in Computer Science)
by Hua Xu Hanlei Zhang Ting-En LinNatural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.
Machine Learning Methods
by Hang LiThis book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.
Big Data and Social Computing: 8th China National Conference, BDSC 2023, Urumqi, China, July 15–17, 2023, Proceedings (Communications in Computer and Information Science #1846)
by Xiaofeng Meng Yang Chen Liming Suo Qi Xuan Zi-Ke ZhangThis book constitutes refereed proceedings of the 8th China National Conference on Big Data and Social Computing, BDSC 2023, held in Urumqi, China, from July 15–17, 2023.The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topical headings: Digital Technology and Sustainable Development; Social Network and Group Behavior; Digital infrastructure and the Intelligent Society; Digital Society and Public Security; Artificial Intelligence and Cognitive Science; and Internet Intelligent Algorithm Governance.
Intelligent Systems: Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) (Lecture Notes in Networks and Systems #728)
by Siba K. Udgata Srinivas Sethi Xiao-Zhi GaoThis book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10–12, 2023. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques.
Cybersecurity and Data Laws of the Commonwealth: International Trade, Investment and Arbitration
by Robert WaltersThe book has been authored by a highly regarded international legal scholar and practitioner in transnational commercial and private law. The book highlights how the legal landscape for data protection, cross-border data flows and cybersecurity law is highly diverse and fragmented amongst all commonwealth countries. The book focuses on addressing the gaps in data, cybersecurity and national arbitration law of these countries. This is because, data and cybersecurity underpin digital trade and investment. The aim of this book is to promote more engagement and collaboration between commonwealth countries, to ensure they capitalise on the growing digital economy. Notwithstanding the above, the digital economy is rapidly changing the way we work and live. When coupled together cybersecurity and data law will be an important components of the future digital economy. That said, there will likely be disputes, and international arbitration can be an effective legal mechanism to resolve trade and investment disputes across the digital economy. On that basis, this book augments how the respective laws of commonwealth countries, along with the model data and cyber laws of the Commonwealth should be reviewed to minimise any legal divergence. More legal convergence is needed. This book provides a comparison and practical guide for academics, students, and the business community of the current day data protection laws and cross-border data flows among all commonwealth countries.
Geohazards: Analysis, Modelling and Forecasting (Advances in Natural and Technological Hazards Research #53)
by Sandeep Parveen Kumar Himanshu Mittal Roshan KumarThis book presents a comprehensive analysis of diverse aspects of geohazards. The growing vulnerability and exposure to failures in risk reduction and policy-making increases the severity of geohazard impacts by many folds. Therefore, detailed geohazard analysis, modelling and forecasting are needed to reduce the impacts of extreme events.An interdisciplinary approach to hazard mitigation provides an advanced tool for risk reduction. The book thus summarizes recent modelling and analysis techniques for hazard assessment and risk mitigation. Topics discussed in the book are hazard and risk associated with earthquakes, vulnerability assessment for landslides and avalanches, the assessment of tsunami risk in coastal regions, the implementation of early warning systems to prevent catastrophic consequences, climate change risk modelling and risk communication. The convergent approach with the aspects of natural, engineering, and social sciences attracts a vast audience working to advance disaster science. This book also significantly facilitates the acquisition of policy-relevant knowledge for risk reduction, which is beneficial to the general public.
Proceedings of Third Emerging Trends and Technologies on Intelligent Systems: ETTIS 2023 (Lecture Notes in Networks and Systems #730)
by Arti Noor Kriti Saroha Emil Pricop Abhijit Sen Gaurav TrivediThis book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023) held from 23 – 24 February 2023 in hybrid mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
Benchmarks and Hybrid Algorithms in Optimization and Applications (Springer Tracts in Nature-Inspired Computing)
by Xin-She YangThis book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
ICT for Intelligent Systems: Proceedings of ICTIS 2023 (Smart Innovation, Systems and Technologies #361)
by Jyoti Choudrie Parikshit N. Mahalle Thinagaran Perumal Amit JoshiThis book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being (Studies in Big Data #120)
by Sofia Scataglini Silvia Imbesi Gonçalo MarquesThe book examines the current state of mHealth and Human-Centered Design (HCD) initiatives toward health, care, and well-being. The present surge in interest in improving people's quality of life is creating new prospects for the development of innovative design solutions aimed at enhancing living conditions. The combination of emerging user needs and opportunities provided by recent innovative mHealth technologies enables research institutions, stakeholders, and academia to design new solutions to promote well-being, health, and care, thereby improving the quality of life of people of all ages. The book analyzes and discusses the most innovative services, products, and systems in the healthcare field. This strategy is in line with the concept of ambient assisted living or enhanced living environment, which focuses on the comfort and health of specific categories of users.This book covers several topics highlighting the importance of involving end-users in the design of innovative solutions in digital health care, and design considerations of mobile healthcare applications.Furthermore, the covered topics are described in their current applications in relevant fields focusing on the design of smart solutions, such as biomonitoring systems, activity recognition tools, smart living environments, physical autonomy, and virtual assistance.This editorial project is addressed to academics, designers, engineers, and practitioners in health care who want to promote cooperation between academia, stakeholders, and research institutions.