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Computer Science and Educational Informatization: 5th International Conference, CSEI 2023, Kunming, China, August 11–13, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #1899)
by Jianhou Gan Yi Pan Juxiang Zhou Dong Liu Xianhua Song Zeguang LuThese two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11–13, 2023.The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 3 (Lecture Notes in Networks and Systems #893)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish C. BansalThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 2 (Lecture Notes in Networks and Systems #892)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish C. BansalThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 4 (Lecture Notes in Networks and Systems #890)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Hemant Rathore Jagdish Chand BansalThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Frontier Computing on Industrial Applications Volume 2: Proceedings of Theory, Technologies and Applications (FC 2023) (Lecture Notes in Electrical Engineering #1132)
by Jason C. Hung Neil Yen Jia-Wei ChangThis book gathers the proceedings of the 13th International Conference on Frontier Computing, held in Tokyo, on July 10–13, 2023, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, Web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, Web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.
Flexibility, Resilience and Sustainability (Flexible Systems Management)
by Sushil Neelam Rani Rohit JoshiThis book discusses initiatives intended to promote strategic flexibility, resilience, sustainability, and information system flexibility and analytics, through AI, HR analytics, employee attrition using perspectives from machine learning, agile competencies, agile organization, digital recruitment, e-governance, cyber security controls, and cyber security risk management. It explores areas such as banking system, medical tourism, pharmaceutical industry, defense sector, online shopping, to name some. It brings different perspectives on how to improve the resilience of human resources in organizations through employee engagement, exploration, experimentation, and so on, to create sustainable organizations. There is also some focus on innovation and environmental sustainability concerns, co-worker support, exploring the linkages, and in one case, culture essentials for Industry 5.0. Divided into three parts, covering a range of topics, contexts, and methods used to understand the relevant issues in flexibility, resilience, and sustainability, thes book is a useful addition to the literature on the topic as well as a practical resource for practitioners. It will be a useful resource for a variety of audiences such as management students and researchers, practicing business managers, consultants, and professional institutions.
Advanced Technologies in Healthcare: AI, Signal Processing, Digital Twins and 5G
by Shuli Guo Lina Han Yanan GuoThis book explores the applications of cutting-edge technologies such as AI, blockchain, signal processing, digital twin technology, and 5G communication technology in healthcare. The writing style combines diagrams, tables, formulae, and text to enhance readability. The content combines theoretical analysis and medical application in every chapter. This book presents several innovative methods, including an AI-based computer-aided diagnosis system, a blockchain-based AI system framework for healthcare, pre-processing algorithms for medical imaging, digital twin models for healthcare, a healthcare platform based on cloud, fog, and edge computing, and a personal health device domain information model. This book will be valuable for researchers, engineers, and post-graduate students in the fields of medicine management and software engineering.
Computing and Informatics: 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2001)
by Nur Haryani Zakaria Nur Suhaili Mansor Husniza Husni Fathey MohammedThis book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13–15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Computing and Informatics: 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2002)
by Nur Haryani Zakaria Nur Suhaili Mansor Husniza Husni Fathey MohammedThis book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13–15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Emerging Information Security and Applications: 4th International Conference, EISA 2023, Hangzhou, China, December 6–7, 2023, Proceedings (Communications in Computer and Information Science #2004)
by Jun Shao Sokratis K. Katsikas Weizhi MengThis volume constitutes the proceedings presented at the 4th International Conference on Emerging Information Security and Applications, EISA 2023, held in Hangzhou, China, in December 2023. The 11 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. The topics of the book are related but not limited to cyber intelligence techniques, multimedia security, blockchain and distributed ledger technology, malware and unwanted software, vulnerability analysis and reverse engineering, usable security and privacy, intrusion detection and prevention, authentication and access control, anonymity and privacy, cryptographic protection, digital forensics, cyber physical systems security, adversarial learning, security measurement, security management and policies, hardware and physical security.
Transactions on Intelligent Welding Manufacturing: Volume V No. 1 2021 (Transactions on Intelligent Welding Manufacturing)
by Shanben Chen Yuming Zhang Zhili FengThe primary aim of this book is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
Computer Supported Cooperative Work and Social Computing: 18th CCF Conference, ChineseCSCW 2023, Harbin, China, August 18–20, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2012)
by Yuqing Sun Tun Lu Tong Wang Hongfei Fan Dongning Liu Bowen DuThis two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Computer Supported Cooperative Work and Social Computing: 18th CCF Conference, ChineseCSCW 2023, Harbin, China, August 18–20, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2013)
by Yuqing Sun Tun Lu Tong Wang Hongfei Fan Dongning Liu Bowen DuThis two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Toward Connected, Cooperative and Intelligent IoV: Frontier Technologies and Applications
by Kai Liu Penglin Dai Victor C.S. Lee Joseph Kee-Yin Ng Sang Hyuk SonThis book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications. It focuses on the state-of-the-art IoV with regard to three major directions, namely networking, cooperation, and intelligence, including advanced wireless communication technologies, algorithm theory, optimization mechanisms, and AI technologies. In addition, the book includes a number of case studies with system prototype implementation and hands-on experiments in IoV, making it suitable both as a technical reference work for professionals and as a textbook for graduate students.
Spatiotemporal Data Analytics and Modeling: Techniques and Applications (Big Data Management)
by John A Satheesh Abimannan El-Sayed M. El-Alfy Yue-Shan ChangWith the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.
Computer-Aided Design and Computer Graphics: 18th International Conference, CAD/Graphics 2023, Shanghai, China, August 19–21, 2023, Proceedings (Lecture Notes in Computer Science #14250)
by Shi-Min Hu Yiyu Cai Paul RosinThis book constitutes the proceedings of the CCF 18th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2023, which took place in Shanghai, China, during August 19–21, 2023.The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer Animation, Deep Learning for Graphics, Geometric Modeling, Geometry Processing, Rendering, Virtual Reality, Augmented Reality, Visualization, and more.
Randomized Response Techniques: Certain Thought-Provoking Aspects
by Arijit Chaudhuri Sanghamitra Pal Dipika PatraThis book presents an up-to-date perspective on randomized response techniques (RRT). It discusses the most appropriate and efficient procedures of RRT for analysing data from queries dealing with sensitive and confidential issues, including the treatment of infinite and finite population setups. The book aims to spark a renewed interest among sampling experts who may have overlooked RRT. By addressing the missing topics and incorporating a wide range of contributors' works, it seeks to foster an appreciative academic environment and inspire a reformed and amended view of RRT. As the book unfolds, readers will gain valuable insights into the evolving landscape of RRT and its applications, positioning them at the forefront of this engaging field of study.On RRT, the literature has grown immensely since its inception in 1965 by S.L. Warner. Despite several books published on the subject, there are still two crucial topics missing from the existing RRT literature. This book aimsto address these gaps and provide valuable insights to curious readers in the field. The book is mandatory reading for statisticians and biostatisticians, market researchers, operations researchers, pollsters, sociologists, political scientists, economists and advanced undergraduate and graduate students in these areas.
Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)
by Jonah GambaThis book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a pressing need for accessible resources that provide comprehensive examples and quick guidance. Unfortunately, many existing books on the market tend to emphasize theoretical aspects, leaving newcomers scrambling for practical guidance. This book takes a different approach by focusing on practicality while keeping theoretical concepts to a necessary minimum. The book begins by laying a foundation of basic information on deep learning, gradually delving into the subject matter to explain and illustrate the limitations of existing algorithms. A dedicated chapter is allocated to evaluating the performance of multiple algorithms on specific datasets, highlighting techniques and strategies that can address real-world challenges when deep learning is employed. By consolidating all necessary information into a single resource, readers can bypass the hassle of scouring scattered online sources, gaining a one-stop solution to dive into deep learning for object detection and classification. To facilitate understanding, the book employs a rich array of illustrations, figures, tables, and code snippets. Comprehensive code examples are provided, empowering readers to grasp concepts quickly and develop practical solutions. The book covers essential methods and tools, ensuring a complete and comprehensive coverage that enables professionals to implement deep learning algorithms swiftly and effectively.This book is designed to equip professionals with the necessary skills to thrive in the active field of deep learning, where it has the potential to revolutionize traditional problem-solving approaches. This book serves as a practical companion, enabling readers to grasp concepts swiftly and embark on building practical solutions.
Proceedings of Fifth International Conference on Computer and Communication Technologies: IC3T 2023, Volume 1 (Lecture Notes in Networks and Systems #897)
by B. Rama Devi Kishore Kumar M. Raju K. Srujan Raju Mathini SellathuraiThis book is a compilation of high-quality scientific papers presented at the 5th International Conference on Computer & Communication Technologies (IC3T 2023). The book covers cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human–computer interaction, and web intelligence.
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)
by Jayaraman Valadi Krishna Pratap Singh Muneendra Ojha Patrick SiarryThis book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.
Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS 2023, Volume 1 (Smart Innovation, Systems and Technologies #383)
by António Abreu João Vidal Carvalho Pedro Liberato Hazael Cerón MonroyThis book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
Advanced Mathematical Science for Mobility Society
by Kazushi Ikeda Yoshiumi Kawamura Kazuhisa Makino Satoshi Tsujimoto Nobuo Yamashita Shintaro Yoshizawa Hanna SumitaThis open access book presents the mathematical methods for huge data and network analysis.The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.This book contains three main contents.1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility societyThe first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
Basic Immunology and Its Clinical Application (Advances in Experimental Medicine and Biology #1444)
by Mitsuru MatsumotoThis book overviews ongoing and upcoming clinical applications of basic immunology. Recent advances in our knowledge of immunology coupled with new technologies have aided in the development of efficient cancer immunotherapy, as well as the control of emerging microorganisms such as SARS-CoV-2. However, knowledge of basic immunology has not been fully utilized even after the discoveries of immune checkpoint inhibition for cancer immunotherapy and the development of mRNA vaccination against SARS-CoV-2. There is still room for improving the clinical application of basic immunology. The book summarizes the achievements in clinical applications of basic immunology and highlights what can be further extended to make immunology a more practical human science. Basic immunology and its clinical applications are two wheels of the same cart in the immunology field, which aids in the development of more efficient cancer immunotherapy and rapid control of infectious diseases against microorganisms, including new viruses and classical toxoplasmosis. The exploration of ongoing and upcoming applications of basic immunology in this book makes it a useful resource for immunologists, physicians, molecular and genome biologists, bioinformaticians, and students in these fields.
Infrared Small Target Detection: Theory, Methods, and Algorithms.
by Hu Zhu Yushan Pan Lizhen Deng Guoxia XuUncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field.Readers can particularly be drawn to the book's methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanced algorithms. Experience the key benefits of “Infrared Small Target Detection” as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.
Multimedia Watermarking: Latest Developments and Trends
by Aditya Kumar SahuMultimedia watermarking is a key ingredient for integrity verification, transaction tracking, copyright protection, authentication, copy control, and forgery detection. This book provides an extensive survey from the fundamentals to cutting-edge digital watermarking techniques. One of the crucial aspects of multimedia security is the ability to detect forged/tampered regions from the multimedia object. In this book, we emphasized how tampering detection, localization, and recovery of manipulated information not only limits but also eliminates the scope of unauthorized usage. Finally, this book provides the groundwork for understanding the role of intelligent machines and blockchain in achieving better security in multimedia watermarking. Readers will find it easy to comprehend the wide variety of applications, theoretical principles, and effective solutions for protecting intellectual rights soon after reading this book.