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Power Engineering and Intelligent Systems: Proceedings of PEIS 2023, Volume 2 (Lecture Notes in Electrical Engineering #1098)
by Vivek Shrivastava Jagdish Chand Bansal Bijaya Ketan PanigrahiThe book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2023), held during June 24 – –25, 2023, at National Institute of Technology, Delhi, India.
Introduction to Metaverse: Technology Landscape, Applications, and Challenges
by Rajan Gupta Saibal K. PalThis book discusses Metaverse Technology, which is one of the emerging technologies around the world, through its concepts, definitions, architectural layers, economic implications, and presents comparison points with other allied areas like Web 3.0, Digital Twin, Blockchain, Multiverse, Artificial Intelligence, Internet of Everything and Hyperautomation.The book also presents several use-cases and adoption areas of Metaverse technology, along with global outlook of top companies implementing this technology through major platforms and tools. The potential use of this technology for Public Sector is also explored in this book, apart from the suggested business framework for its adoption. Potential misuse and ethical concerns have also been summarised. This introductory book on Metaverse, written with a multidisciplinary approach, will provide readers with a clear understanding of what the Metaverse is, what technologies are involved in its creation, and its current as well as potential future applications, in a very simple manner.
Active Learning to Minimize the Possible Risk of Future Epidemics (SpringerBriefs in Applied Sciences and Technology)
by KC Santosh Suprim NakarmiFuture epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop learning, becomes imperative, enabling machines to commence learning from day one with minimal labeled data. In unsupervised learning, the focus shifts toward constructing advanced machine learning models like deep structured networks that autonomously learn over time, with human or expert intervention only when errors occur and for limited data—a process we term mentoring. In the context of Covid-19, this book explores the use of deep features to classify data into two clusters (0/1: Covid-19/non-Covid-19) across three distinct datasets: cough sound, Computed Tomography (CT) scan, and chest x-ray (CXR). Not to be confused, our primary objective is to provide a strong assertion on how active learning could potentially be used to predict disease from any upcoming epidemics. Upon request (education/training purpose), GitHub source codes are provided.
Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)
by Apoorva S. Shastri Kailash Shaw Mangal SinghThis book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
Communications, Signal Processing, and Systems: Proceedings of the 12th International Conference on Communications, Signal Processing, and Systems: Volume 1 (Lecture Notes in Electrical Engineering #1032)
by Wei Wang Xin Liu Zhenyu Na Baoju ZhangThis book brings together papers presented at the 2023 International Conference on Communications, Signal Processing, and Systems, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from Communications, Signal Processing, and Systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).
Beamforming in Medical Ultrasound Imaging (Springer Tracts in Electrical and Electronics Engineering)
by Babak Mohammadzadeh Asl Roya ParidarThis book deals with the concept of medical ultrasound imaging and discusses array signal processing in ultrasound. Signal processing using different beamforming techniques in order to achieve a desirable reconstructed image and, consequently, obtain useful information about the imaging medium is the main focus of this book. In this regard, the principles of image reconstruction techniques in ultrasound imaging are fully described, and the required processing steps are completely expanded and analyzed in detail. Simulation results to compare the performance of different beamformers are also included in this book to visualize their differences to the reader. Other advanced techniques in the field of medical ultrasound data processing, as well as their corresponding recent achievements, are also presented in this book. Simply put, in this book, processing of medical ultrasound data from different aspects and acquiring information from them in different manners are covered and organized in different chapters. Before going through the detailed explanation in each chapter, it gives the reader an overview of the considered issue and focuses his\her mind on the challenge ahead. The contents of the book are also presented in such a way that they are easy for the reader to understand. This book is recommended for researchers who study medical ultrasound data processing.
Artificial Intelligence in China: Proceedings of the 5th International Conference on Artificial Intelligence in China (Lecture Notes in Electrical Engineering #1043)
by Wei Wang Jiasong Mu Xin Liu Zhenyu Na NaThis book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).
Image and Graphics Technologies and Applications: 18th Chinese Conference, IGTA 2023, Beijing, China, August 17–19, 2023, Revised Selected Papers (Communications in Computer and Information Science #1910)
by Wang Yongtian Wu LifangThis book constitutes the refereed proceedings of the 18th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2023, held in Beijing, China, during August 17–19, 2023.The 35 full papers included in this book were carefully reviewed and selected from 129 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/video big data analysis and understanding; computer graphics; visualization and visual analysis; virtual reality and human-computer interaction; and applications of image and graphics.
Critical Reflections on ICT and Education: Selected Papers from the HKAECT 2023 International Conference (Educational Communications and Technology Yearbook)
by Anna Wing Bo TSO Wendy Wing Lam CHAN Steven Kwan Keung NG Tiffany Shurui Bai Noble Po Kan LOThis book includes selected papers from the Hong Kong Association for Educational Communications and Technology (HKAECT) 2023 International Conference. It provides readers with a collection of insightful chapters which delves into the realms of data visualization, artificial intelligence (AI), virtual reality (VR), and augmented reality (AR). It also reflects on the dynamic shifts in online learning, blended learning, and self-directed learning. Part one of the volume includes case studies and examples of the integration of advanced technologies, such as data visualization, generative AI, and mixed reality in education. Part two shares experiences and observations from educators who embrace online learning, blended learning, and independent learning. Part three investigates the influences digital education has on learning, teaching, and society as a whole. The book paves a path for thought-provoking discussions on the future of education in a digitally connected world. It is a vital resource for educators, administrators, policymakers, and learners seeking to navigate and thrive in the rapidly evolving world of digital education.
Cryptology and Network Security: 22nd International Conference, CANS 2023, Augusta, GA, USA, October 31 – November 2, 2023, Proceedings (Lecture Notes in Computer Science #14342)
by Jing Deng Vladimir Kolesnikov Alexander SchwarzmannThis book constitutes the refereed proceedings of the 22nd International Conference on Cryptology and Network Security, CANS 2023, which was held in October/November 2023 in Augusta, GA, USA.The 25 papers presented were thoroughly revised and selected from the 54 submissions. They are organized in the following topical sections: Schemes I; Basic Primitives; Security; MPC with Cards; Blockchain; MPC and Secret Sharing; Schemes II.
Intelligent Sustainable Systems: Selected Papers of WorldS4 2023, Volume 3 (Lecture Notes in Networks and Systems #803)
by Atulya K. Nagar Dharm Singh Jat Durgesh Mishra Amit JoshiThis book provides insights of World Conference on Smart Trends in Systems, Security, and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
Formal Methods and Software Engineering: 24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21–24, 2023, Proceedings (Lecture Notes in Computer Science #14308)
by Yi Li Sofiène TaharThis book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21–24, 2023.The 13 full papers presented together with 8 doctoral symposium papers in this volume were carefully reviewed and selected from 34 submissions, the volume also contains one invited paper. The conference focuses on applying formal methods to practical applications and presents papers for research in all areas related to formal engineering methods.
AI-generated Content: First International Conference, AIGC 2023, Shanghai, China, August 25–26, 2023, Revised Selected Papers (Communications in Computer and Information Science #1946)
by Feng Zhao Duoqian MiaoThis book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content.
Advanced Computational Intelligence and Intelligent Informatics: 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I (Communications in Computer and Information Science #1931)
by Bin Xin Naoyuki Kubota Kewei Chen Fangyan DongThis two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023.The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
Advanced Computational Intelligence and Intelligent Informatics: 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II (Communications in Computer and Information Science #1932)
by Bin Xin Naoyuki Kubota Kewei Chen Fangyan DongThis two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023.The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
Social Media Processing: 11th Chinese National Conference, SMP 2023, Anhui, China, November 23–26, 2023, Proceedings (Communications in Computer and Information Science #1945)
by Feng Wu Xuanjing Huang Xiangnan He Jiliang Tang Shu Zhao Daifeng Li Jing ZhangThis book constitutes the thoroughly refereed proceedings of the 11th Chinese National Conference of Social Media Processing, SMP 2023, held in Anhui, China, in November 2023.The 16 full papers presented were carefully reviewed and selected from 88 submissions. The papers are organized in the topical sections on knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources.
Advances in Computing and Information: Proceedings of ERCICA 2023, Volume 1 (Lecture Notes in Electrical Engineering #1104)
by N. R. Shetty N. H. Prasad N. NaliniThis book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2023. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. Some of the topics include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
Advances in Communication and Applications: Proceedings of ERCICA 2023, Volume 2 (Lecture Notes in Electrical Engineering #1105)
by N. R. Shetty N. H. Prasad H. C. NagarajThis book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2023. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. Some of the topics include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
From Digital Divide to Digital Inclusion: Challenges, Perspectives and Trends in the Development of Digital Competences (Lecture Notes in Educational Technology)
by Łukasz Tomczyk Francisco D. Guillén-Gámez Julio Ruiz-Palmero Akhmad HabibiThis book offers an expert perspective on two key phenomena in the development of the information society, namely digital inclusion and digital exclusion. Despite the intensive digitalization of various areas in human activity, the lack of proper information and communications technology (ICT) literacy, the lack of access to high-speed Internet, and the still unsatisfactory level of e-services are a reality in many regions and countries. This edited book presents a unique overview of research related to the dynamics of digital exclusion and the development of digital competences, as well as an analysis of the most effective educational solutions to foster the digital inclusion of disadvantaged groups. This book is particularly useful for educators dealing with the topic of digital exclusion and inclusion and who are looking for knowledge on enhancing digital competences in disadvantaged groups. It is also helpful for social policy makers involved in designing solutions to minimize various forms of digital exclusion. Finally, this book serves as a reference for academics and students from the disciplines of pedagogy, social policy, new media psychology, media sociology, and cultural anthropology.
Intelligent Systems and Data Science: First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part I (Communications in Computer and Information Science #1949)
by Nguyen Thai-Nghe Thanh-Nghi Do Peter HaddawyThis two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023.The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.
Dirty Data Processing for Machine Learning
by Zhixin Qi Hongzhi Wang Zejiao DongIn both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as “dirty data.” Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing. Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high. If we knew how dirty data affected the accuracy of machine learning models, we could clean data selectively according to the accuracy requirements instead of cleaning all dirty data, which entails substantial costs. However, no book to date has studied the impacts of dirty data on machine learning models in terms of data quality. Filling precisely this gap, the book is intended for a broad audience ranging from researchers in the database and machine learning communities to industry practitioners. Readers will find valuable takeaway suggestions on: model selection and data cleaning; incomplete data classification with view-based decision trees; density-based clustering for incomplete data; the feature selection method, which reduces the time costs and guarantees the accuracy of machine learning models; and cost-sensitive decision tree induction approaches under different scenarios. Further, the book opens many promising avenues for the further study of dirty data processing, such as data cleaning on demand, constructing a model to predict dirty-data impacts, and integrating data quality issues into other machine learning models. Readers will be introduced to state-of-the-art dirty data processing techniques, and the latest research advances, while also finding new inspirations in this field.
Intelligent Systems and Data Science: First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II (Communications in Computer and Information Science #1950)
by Nguyen Thai-Nghe Thanh-Nghi Do Peter HaddawyThis two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023.The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.
Data Economy in the Digital Age (Data-Intensive Research)
by Samiksha Shukla Kritica Bisht Kapil Tiwari Shahid BashirThe book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.
Geomorphic Risk Reduction Using Geospatial Methods and Tools (Disaster Risk Reduction)
by Raju Sarkar Sunil Saha Basanta Raj Adhikari Rajib ShawThis book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.
Human-Centric Smart Computing: Proceedings of ICHCSC 2023 (Smart Innovation, Systems and Technologies #376)
by Siddhartha Bhattacharyya Jyoti Sekhar Banerjee Mario KöppenThis book includes high-quality research papers presented at the Second International Conference on Human-Centric Smart Computing (ICHCSC 2023), organized by the University of Engineering and Management, Jaipur, India, on 5–6 July 2023 in New Delhi, India. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry.