- Table View
- List View
Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India (Lecture Notes in Electrical Engineering #1038)
by Amit Kumar Vinit Kumar Gunjan Yu-Chen Hu Sabrina SenatoreThis book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence: Proceedings of IC 2023 (Lecture Notes in Electrical Engineering #1044)
by Jason C. Hung Jia-Wei Chang Yan PeiThis book comprises select peer-reviewed proceedings of the 6th International Conference on Innovative Computing (IC 2023). The contents focus on communication networks, business intelligence and knowledge management, web intelligence, and fields related to the development of information technology. The chapters include contributions on various topics such as databases 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. This volume will serve as a comprehensive overview of the latest advances in information technology for those working as researchers in both academia and industry.
Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)
by Dhish Kumar Saxena Sukrit Mittal Kalyanmoy Deb Erik D. GoodmanThis book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML for different pursuits. Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners. To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types. Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMâO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMâOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMâOA domain.To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMâOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMâOA and ML domains.
Communication and Intelligent Systems: Proceedings of ICCIS 2022, Volume 1 (Lecture Notes in Networks and Systems #686)
by Harish Sharma Vivek Shrivastava Kusum Kumari Bharti Lipo WangThis book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by National institute of Technology, Delhi, India, during December 19–20, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The book is presented in two volumes.
Artificial Intelligence and Cyber Security in Industry 4.0 (Advanced Technologies and Societal Change)
by Velliangiri Sarveshwaran Joy Iong-Zong Chen Danilo PelusiThis book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
Data Analysis for Neurodegenerative Disorders (Cognitive Technologies)
by Deepika Koundal Deepak Kumar Jain Yanhui Guo Amira S. Ashour Atef ZaguiaThis book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders.This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features:● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection.● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders.● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.
Formal Methods in Architecture: Proceedings of the 6th International Symposium on Formal Methods in Architecture (6FMA), A Coruña 2022 (Digital Innovations in Architecture, Engineering and Construction)
by Plácido Lizancos Mora David Leite Viana Franklim Morais Jorge Vieira VazThis book comprises the select proceedings of the 6th International Symposium on Formal Methods in Architecture (6FMA), A Coruña 2022. The contents focus on the use of methodologies, especially those that have witnessed recent developments stemming from mathematical and computer sciences and are developed in a collaborative way with architecture and related fields. This book constitutes a contribution to the debate and to the introduction of new methodologies and tools in the mentioned fields that derive from the application of formal methods in the creation of new explicit languages for problem-solving in architecture and urbanism. Some of the themes in the book are CAD and BIM, mixed realities, photogrammetry and 3D scan, architectural design automation, urban and building performance analysis, SCAVA-space configuration, accessibility and visibility analysis. This book proves a valuable resource for those in academia and industry.
Cryptology and Network Security with Machine Learning: Proceedings of ICCNSML 2022 (Algorithms for Intelligent Systems)
by Bimal Kumar Roy Atul Chaturvedi Boaz Tsaban Sartaj Ul HasanThe book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2022), organized by PSIT, Kanpur, India during 16 – 18 December 2022. This conference proceeding will provide the understanding of core concepts of Cryptology & Network Security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post quantum cryptography, lattice based cryptography, non-commutative ring based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial based cryptography, code based cryptography, NTRU cryptosystems, security and privacy in machine learning, block chain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.
Big Data Intelligence and Computing: International Conference, DataCom 2022, Denarau Island, Fiji, December 8–10, 2022, Proceedings (Lecture Notes in Computer Science #13864)
by Ching-Hsien Hsu Mengwei Xu Hung Cao Hojjat Baghban A. B. M. Shawkat AliThis book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022. The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.
Facets of Behaviormetrics: The 50th Anniversary of the Behaviormetric Society (Behaviormetrics: Quantitative Approaches to Human Behavior #4)
by Akinori Okada Kazuo Shigemasu Ryozo Yoshino Satoru YokoyamaThis edited book is the first one written in English that deals comprehensively with behavior metrics. The term “behaviormetrics” comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a diverse range of fields. The purpose of this book is twofold. One is to represent studies that display how the basic elements of behavior metrics have developed into present-day behavior metrics. The other is to represent studies performed mainly by those who would like to pioneer new fields of behavior metrics and studies that display elements of future behavior metrics. These studies consist of various characteristics such as those dealing with theoretical or conceptual subjects, the algorithm, the model, the method, and the application to a wide variety of fields. This book helps readers to understand the present and future of behavior metrics.
Proceedings of the 5th International Symposium for Intelligent Transportation and Smart City: Branch of the International Symposium on Autonomous Decentralized Systems (ISADS) 2023 (Lecture Notes in Electrical Engineering #1042)
by Xiaoqing Zeng Xiongyao Xie Jian Sun Limin Ma Yinong ChenThis book presents research advances in intelligent transportation and smart city in detail, mainly focusing on green traffic and urban utility tunnels, presented at the 5th International Symposium for Intelligent Transportation and Smart City (ITASC 2022) held at Tongji University, Shanghai, on May 20-21, 2022. It is also branch of the International Symposium on Autonomous Decentralized Systems (ISADS) 2023. Due to rapid development in the domain of intelligent transportation and smart city, many popular topics are included, such as the 2BMW system (Bus, Bike, Metro and Walking), transportation safety and environment protection, urban utility design and application, the application of BIM in the city design. This book collects papers with high quality, including some authoritative scholars and most experienced engineers’ latest achievements, which will provide guidance to those both in universities and entrepreneurs in the field of transportation and urban planning. The first conference in the ITASC series was held in 2013 as a workshop of the International Symposium on Autonomous Decentralized System (ISADS) in Mexico City. The second to fourth were held in May 2015, 2017 and 2019, respectively, in Tongji University, Shanghai.
Bioaerosol Characterisation, Transportation and Transmission: Fundamental, Modelling and Application
by Yihuan Yan Jiyuan TuThis book aims to predict and model the transport of bioaerosols, identify their transmission characteristics, and assess occupants’ infection risks. Although existing epidemiological books provide fundamental infection rate of existing diseases, the ability of predicting emerging disease transmission in the air and assessing occupants’ infection risks to the bioaerosols is significantly lacking. This book is considered as a professional book that provides in-depth discussion of the aforementioned issues and provides potential approaches to solve these issues would be highly demanded by readers in this emerging research field. This book offers essential and systematic analysis on the fate of bioaerosols from their release in the air to the final destination in human’s respiratory systems through direct 3D visualizations techniques. It also provides quantifiable method to assess each occupant’s infection risks to the infectious bioaerosols in indoor environments. The readers will gain essential fundamental characteristics of bioaerosols (active time, viability, etc.) and will gain the advanced skills on how to integrate these properties into numerical modeling and assess the occupants’ exposure risks.
Applications and Techniques in Information Security: 13th International Conference, ATIS 2022, Manipal, India, December 30–31, 2022, Revised Selected Papers (Communications in Computer and Information Science #1804)
by Srikanth Prabhu Shiva Raj Pokhrel Gang LiThis book constitutes the refereed proceedings of the 13th International Conference, on Applications and Techniques in Information Security, ATIS 2022, held in Manipal, India, December 30–31, 2022.The 23 full papers included in this book were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows: Privacy and Security, Advances in Machine Learning, Cloud, IoT and Computing Technologies.
Innovative Computing Vol 2 - Emerging Topics in Future Internet: Proceedings of IC 2023 (Lecture Notes in Electrical Engineering #1045)
by Jason C. Hung Jia-Wei Chang Yan PeiThis book comprises select peer-reviewed proceedings of the 6th International Conference on Innovative Computing (IC 2023). The contents focus on communication networks, business intelligence and knowledge management, web intelligence, and fields related to the development of information technology. The chapters include contributions on various topics such as databases 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. This volume will serve as a comprehensive overview of the latest advances in information technology for those working as researchers in both academia and industry.
Measurement, Mathematics and New Quantification Theory (Behaviormetrics: Quantitative Approaches to Human Behavior #16)
by Shizuhiko NishisatoThe purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. As is well known, quantification theory has attracted the attention of a countless number of researchers, some mathematically oriented and others not, but all of them are experts in their own disciplines. Quantifying non-quantitative (qualitative) data requires a variety of mathematical and statistical strategies, some of which are quite complicated. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory. As such, the book is primarily intended for readers whose specialty is outside mathematical sciences. The book was designed to offer non-mathematicians a variety of mathematical tools used in quantification theory in simple terms. Once all the preliminaries are fully discussed, quantification theory is then introduced in the last section as a simple application of those mathematical procedures fully discussed so far. The book opens up further frontiers of quantification theory as simple applications of basic mathematics.
Cultural Space on Metaverse (KAIST Research Series)
by Ji-Hyun LeeThis book consists of some selected papers presented at the 4th cultural DNA workshop. The papers include topics from three different perspectives: insightful analysis, intelligent synthesis and cutting-edge tools to better understand cultural DNA.It is this diverse perspective toward cultural DNA that makes this book special and suggestive. This book can be suggestive especially for the designers trying to find the very essence, the archetype, and the building blocks of our environment for the incorporation of social and cultural factors into their designs.This book consists of some selected papers presented as first drafts at the 4th cultural DNA workshop. The papers include topics from three different perspectives: insightful analysis, intelligent synthesis and cutting-edge tools to better understand cultural DNA.
Communication and Intelligent Systems: Proceedings of ICCIS 2022, Volume 2 (Lecture Notes in Networks and Systems #689)
by Harish Sharma Vivek Shrivastava Kusum Kumari Bharti Lipo WangThis book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 19–20, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The work is presented in two volumes.
Computer Supported Cooperative Work and Social Computing: 17th CCF Conference, ChineseCSCW 2022, Taiyuan, China, November 25–27, 2022, Revised Selected Papers, Part I (Communications in Computer and Information Science #1681)
by Yuqing Sun Tun Lu Yinzhang Guo Xiaoxia Song Hongfei Fan Dongning Liu Liping Gao Bowen DuThis two-volume set constitutes the refereed proceedings of the 17th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2022 held in Taiyuan, China, during November 25–27, 2022.The 60 full papers and 30 short papers included in this two-volume set were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; 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.
Communications, Signal Processing, and Systems: Proceedings of the 11th International Conference on Communications, Signal Processing, and Systems, Vol. 3 (Lecture Notes in Electrical Engineering #874)
by Qilian Liang Wei Wang Xin Liu Zhenyu Na Baoju ZhangThis book brings together papers presented at the 2022 International Conference on Communications, Signal Processing, and Systems, online, July 23-24, 2022, 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 and DOE).
Optimization Methods for Structural Engineering (Engineering Optimization: Methods and Applications)
by Ishaan R. Kale Ali SadollahThis contributed book focuses on optimization methods inspired by nature such as Harmony Search Algorithm, Drosophila Food-Search Algorithm, Cohort intelligence algorithm and its variations, fuzzy logic along with their hybridization variants. It also focuses on multi-objective optimization algorithms such as Non-Dominated Sorting Genetic Algorithm, Particle Swarm Optimization, Evolutionary Algorithm, Pareto Envelope Selection Algorithm, and Strength Pareto Evolutionary Algorithm. The content focuses on topics such as the optimal design of truss systems with various applications, the design and simulation of quarter car systems for comfort design, the road handling design and a balanced system, and topology optimization of 2-dimensional and 3-dimensional structure in linear elasticity, plasticity and fracture mechanics among others. This book is a useful reference for those in academia and industry.
Computer Supported Cooperative Work and Social Computing: 17th CCF Conference, ChineseCSCW 2022, Taiyuan, China, November 25–27, 2022, Revised Selected Papers, Part II (Communications in Computer and Information Science #1682)
by Yuqing Sun Tun Lu Yinzhang Guo Xiaoxia Song Hongfei Fan Dongning Liu Liping Gao Bowen DuThis two-volume set constitutes the refereed proceedings of the 17th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2022 held in Datong, China, during September 23–25, 2022.The 60 full papers and 30 short papers included in this two-volume set were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; 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.
Man-Machine Speech Communication: 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings (Communications in Computer and Information Science #1765)
by Ling Zhenhua Gao Jianqing Yu Kai Jia JiaThis book constitutes the refereed proceedings of the 17th National Conference on Man–Machine Speech Communication, NCMMSC 2022, held in China, in December 2022.The 21 full papers and 7 short papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model, MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.
Probabilistic Topic Models: Foundation and Application
by Di Jiang Chen Zhang Yuanfeng SongThis book introduces readers to the theoretical foundation and application of topic models. It provides readers with efficient means to learn about the technical principles underlying topic models. More concretely, it covers topics such as fundamental concepts, topic model structures, approximate inference algorithms, and a range of methods used to create high-quality topic models. In addition, this book illustrates the applications of topic models applied in real-world scenarios. Readers will be instructed on the means to select and apply suitable models for specific real-world tasks, providing this book with greater use for the industry. Finally, the book presents a catalog of the most important topic models from the literature over the past decades, which can be referenced and indexed by researchers and engineers in related fields. We hope this book can bridge the gap between academic research and industrial application and help topic models play an increasingly effective role in both academia and industry. This book offers a valuable reference guide for senior undergraduate students, graduate students, and researchers, covering the latest advances in topic models, and for industrial practitioners, sharing state-of-the-art solutions for topic-related applications. The book can also serve as a reference for job seekers preparing for interviews.
Computer Science and Education: 17th International Conference, ICCSE 2022, Ningbo, China, August 18–21, 2022, Revised Selected Papers, Part I (Communications in Computer and Information Science #1811)
by Wenxing Hong Yang WengThis three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Computer Science and Education: 17th International Conference, ICCSE 2022, Ningbo, China, August 18–21, 2022, Revised Selected Papers, Part II (Communications in Computer and Information Science #1812)
by Wenxing Hong Yang WengThis three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.