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AI to Improve e-Governance and Eminence of Life: Kalyanathon 2020 (Studies in Big Data #130)
by Somnath Mukhopadhyay Sunita Sarkar Jyotsna Kumar Mandal Sudipta RoyThe volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notable one. The book discusses latest findings on efficient technological solutions of e-governance and other areas of life from the leading researchers in the field. The prime focus is on solving socio-economic technical problems using state-of-the-art research findings like fuzzy computing, evolutionary and hybrid frameworks, neuro computing, etc., along with other AI based computation platforms. The topics covered include solution frameworks using Artificial Intelligence based models in application areas like agriculture and rural development, road accident, travel and tourism, solid waste management, rural medical care, crowd sourced election monitoring system, ragging, rape and other abuses, cyber criminals and cyber bullying, disaster management, social good, etc. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.
Intelligent Systems and Sustainable Computing: Proceedings of ICISSC 2022 (Smart Innovation, Systems and Technologies #363)
by V. Sivakumar Reddy V. Kamakshi Prasad Jiacun Wang Naga Mallikarjuna Rao DasariThis book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 16–17, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.
Intelligent Systems and Networks: Selected Articles from ICISN 2023, Vietnam (Lecture Notes in Networks and Systems #752)
by Thi Dieu Linh Nguyen Elena Verdú Anh Ngoc Le Maria GanzhaThis book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2023), held at Hanoi in Vietnam. It includes peer reviewed high impact research manuscripts, that highlight the work based on Intelligent System and Networks. The book presents ongoing research outcomes, results and cutting edge works which are of importance to professionals and academics/researchers. It covers topics such as Computational Intelligence in Language and Speech Processing; Software development methods; Wireless Communications and Signal Processing; IoT and Sensor Embedded Systems ; etc.
Advanced Intelligent Computing Technology and Applications: 19th International Conference, ICIC 2023, Zhengzhou, China, August 10–13, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14089)
by De-Shuang Huang Prashan Premaratne Baohua Jin Boyang Qu Kang-Hyun Jo Abir HussainThis three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023.The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Advanced Intelligent Computing Technology and Applications: 19th International Conference, ICIC 2023, Zhengzhou, China, August 10–13, 2023, Proceedings, Part V (Lecture Notes in Computer Science #14090)
by De-Shuang Huang Prashan Premaratne Baohua Jin Boyang Qu Kang-Hyun Jo Abir HussainThis three-volume set of LNCS 14086, LNCS 14087 and LNCS 14088 constitutes - in conjunction with the double-volume set LNAI 14089-14090- the refereed proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023.The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Green Sustainability: Proceedings of ITAF 2023 (Lecture Notes in Networks and Systems #753)
by Dalia Magdi Ahmed Abou El-Fetouh Mohamed Mamdouh Amit JoshiThe book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4–5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
Information Systems Research in Vietnam, Volume 2: A Shared Vision and New Frontiers
by Nguyen Hoang Thuan Duy Dang-Pham Hoanh-Su Le Tuan Q. PhanThis book continues the discussion on advanced information systems research, cases, and applications in the context of Vietnam, presented by experienced researchers in the field. It provides a comprehensive overview of the field and offers access to practical information systems applications, serving as a guide to comparing the context . Readers can also compare the context of information systems applications in Vietnam as a developing country against the context in developed countries. The book contributes to the body of knowledge in several ways. It provides comprehensive references for information systems research, promotes the recent progress in its applications in Vietnam, and offers a shared understanding to serve as a blueprint for future research. From a practical point of view, the book helps organizations/companies in Vietnam to keep up with information systems cases, studies, and applications.
Industry 4.0 Technologies: Volume 1—Theory, Challenges, and Opportunity (Environmental Footprints and Eco-design of Products and Processes)
by K E K Vimal Sonu Rajak Vikas Kumar Rahul S. Mor Almoayied AssayedThis book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.
Computational Methods for Deep Learning: Theory, Algorithms, and Implementations (Texts in Computer Science)
by Wei Qi YanThe first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.
Health Information Processing. Evaluation Track Papers: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers (Communications in Computer and Information Science #1773)
by Buzhou Tang Qingcai Chen Hongfei Lin Fei Wu Lei Liu Tianyong Hao Yanshan Wang Haitian Wang Jianbo Lei Zuofeng Li Hui ZongThis book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022.The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.
Predictive Analytics for Mechanical Engineering: A Beginners Guide (SpringerBriefs in Applied Sciences and Technology)
by Parikshit N. Mahalle Pravin P. Hujare Gitanjali Rahul ShindeThis book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Man-Machine-Environment System Engineering: Proceedings of the 23rd International Conference on MMESE (Lecture Notes in Electrical Engineering #1069)
by Shengzhao Long Balbir S. DhillonMan-Machine-Environment System Engineering: Proceedings of the 23rd Conference on MMESE are an academic showcase of the best papers selected from more than 500 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE. This proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals who study an interdisciplinary subject crossing above disciplines or researchers on MMESE subject will be mainly benefited from this proceedings.MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, “Man” refers to working people as the subject in the workplace (e.g. operators, decision-makers); “Machine” is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of the man-machine-environment systems are to ensure safety, efficiency and economy.The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!”
Industry 4.0 Technologies: Volume II - Methods for transition and trends (Environmental Footprints and Eco-design of Products and Processes)
by K. E. K. Vimal Sonu Rajak Vikas Kumar Rahul S. Mor Almoayied AssayedThis book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.
Platform Business Models for Executives (Management for Professionals)
by R. SrinivasanThis book takes a practice approach to studying platform business models. Drawing from the growing academic literature as well as the practice world, this book intends to provide a framework for analysing platform business firms. Leveraging on the early literature on network economics (that was largely analytical) and the popular writing about new organizations, this book takes a strategic perspective. It answers the five big strategy questions about platform business firms: a. What are platform business models, and how are they different from others; b. How do platform business firms operate, and what value do they create? To whom and how; c. What are those resources that platforms possess and leverage to create and sustain their competitive advantage over others; d. Why and how are they successful? Why do they perform differently from others? What metrics of performance should we use to study and analyse their performance; e. Is this business model sustainable? What determines the longevity of such firms? What are the regulatory and social challenges that these platform business firms face? How do regulators and the larger society manage the disproportionate power distribution among such firms?The book is strategic in nature and highlights the resources defining the strategies of successful platform business firms. In doing so, it provides a field guide for entrepreneurs and managers embarking on building a platform, by providing a portfolio of decisions to make. Though the frameworks could be generalized, the book focuses on platform businesses, rather than societal platforms. With a few extensions, it is possible that these frameworks could be easily applied to non-profit and or social enterprises as well.
Frontiers of Computer Vision: 29th International Workshop, IW-FCV 2023, Yeosu, South Korea, February 20–22, 2023, Revised Selected Papers (Communications in Computer and Information Science #1857)
by Inseop Na Go IrieThis book constitutes refereed proceedings of the 29th International Workshop on Frontiers of Computer Vision, IW-FCV 2023, held in Yeosu, South Korea in February 20–22, 2023. This workshop is an annual event that brings together researchers in the field of computer vision and artificial intelligence to share their research results. The workshop was started 29 years ago as a way to strengthen networking and share research results between Japanese and Korean researchers, and it has since grown in scope and influence, so from 2017, the workshop became an international event. The 13 full papers presented in this volume were thoroughly reviewed and selected from 72 submissions in 8 countries. The papers are dealing with the following topics:basic theories related to image processing, computer vision, image media, and human interface, as well as all research fields in applied fields such as autonomous vehicle driving, robot automation, and image content recognition. Recently, topics related to application of medical, bio, and entertainment field applying artificial intelligence , and more.
ICT Infrastructure and Computing: Proceedings of ICT4SD 2023, Volume 3 (Lecture Notes in Networks and Systems #754)
by Milan Tuba Shyam Akashe Amit JoshiThis book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on August 3–4, 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Privacy Computing: Theory and Technology
by Fenghua Li Hui Li Ben NiuThe continuous evolution and widespread application of communication technology, network technology and computing technology have promoted the intelligent interconnection of all things and ubiquitous sharing of information. The cross-border, cross-system, and cross-ecosystem exchange of user data has become commonplace. At the same time, difficulties in the prevention of private information abuse and lack of protection methods have become global problems. As such, there is an urgent need to intensify basic theoretical research in this field to support the protection of personal information in a ubiquitously interconnected environment. The authors of this book proposed the concept, definition and research scope of privacy computing for the first time in 2015. This book represents their original and innovative scientific research achievement dedicated to privacy computing research, and systematically explains the basic theory and technology involved. It introduces readers to the connection between personal information and privacy protection, defines privacy protection and privacy desensitization, clarifies and summarizes the limitations of existing privacy-preserving technologies in practical information system applications, analyzes the necessity of conducting privacy computing research, and proposes the concept, definition and research scope of privacy computing. It comprehensively expounds the theoretical system of privacy computing and some privacy-preserving algorithms based on the idea of privacy computing. In closing, it outlines future research directions.
Vue. JS Framework: Design and Implementation
by HcySun YangVue.js, as the Data-driven front-end framework, stands out as one of the mainstream choices for front-end developers. This book provides a detailed introduction of Vue.js framework design principles, including an overview of framework design, response systems, renderers, componentization, compilers, and server-side rendering. Based on Vue.js 3 and strict compliance with the specifications, this book starts from source code with a large number of visual diagrams combined, explaining the implementation of each functional module in Vue.js step by step. By reading this book, developers with hands-on experience with Vue.js 2/3 will be able to further understand the implementation details of Vue.js framework, while front-end developers who are not experienced in vue.js but interested in framework design can quickly grasp the design principle of vue.js.
Mixed Reality for Education (Gaming Media and Social Effects)
by Yiyu Cai Eleni Mangina Sui Lin GoeiThis book consists of chapters that present the state-of-the-art research on mixed reality, simulation and serious games with applications in four main educational topics: (1) K-12 STEAM Education; (2) Tertiary/Professional Education; (3) Special Needs Education; and (4) Cultural, Social & Museum Education. The chapters of the book present a multi-facet view on different approaches to deal with challenges that surround the uptake of educational applications of mixed reality, simulations and serious games in various practices. The different approaches highlight challenges and potential solutions and provide future directions for mixed reality, simulation and serious games research, for the design of learning material and for implementation. By doing so, the book is a useful resource for both students and scholars interested in research in this field, for designers of learning material and for practitioners that want to embrace mixed reality, simulation and/or serious games in their education.Chapter "Development of AR Interactive Components for Positive Behavioral Interventions and Supports" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection
by Rujing Wang Lin Jiao Kang LiuThis monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.
Computational Methods for Biological Models (Studies in Computational Intelligence #1109)
by Harendra Singh Hemen DuttaThis book discusses computational methods related to biological models using mathematical tools and techniques. The book chapters concentrate on numerical and analytical techniques that provide a global solution for biological models while keeping long-term benefits in mind. The solutions are useful in closely understanding biological models, and the results will be very useful for mathematicians, engineers, doctors, scientists and researchers working on real-life biological models. This book provides significant and current knowledge of biological models related to real-life applications. The book covers both methods and applications.
Advances in Reliability and Safety Assessment for Critical Systems: Proceedings of the 5th National Conference on Reliability and Safety (NCRS 2022) (Lecture Notes in Mechanical Engineering)
by C. Senthil Kumar R. Sujatha R. Muthukumar K. Balaji Rao Raghu V. Prakash Prabhakar V. VardeThis book comprises select proceedings of the 5th National Conference on Reliability and Safety (NCRS 2022). It provides comprehensive state-of-the-art research and development in diverse areas like reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system reliability, risk informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety critical systems and risk-based engineering.
Drone Data Analytics in Aerial Computing (Transactions on Computer Systems and Networks)
by P. Karthikeyan Sathish Kumar V. AnbarasuThis book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.
Neural Networks with Model Compression (Computational Intelligence Methods and Applications)
by Baochang Zhang Tiancheng Wang Sheng Xu David DoermannDeep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floating-point operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context, our book will focus on CNN compression and acceleration, which are important for the research community. We will describe numerous methods, including parameter quantization, network pruning, low-rank decomposition and knowledge distillation. More recently, to reduce the burden of handcrafted architecture design, neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection. We also describe extensive applications of compressed deep models on image classification, speech recognition, object detection and tracking. These topics can help researchers better understand the usefulness and the potential of network compression on practical applications. Moreover, interested readers should have basic knowledge about machine learning and deep learning to better understand the methods described in this book.
Photonic Neural Networks with Spatiotemporal Dynamics: Paradigms of Computing and Implementation
by Hideyuki Suzuki Jun Tanida Masanori HashimotoThis open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.