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Intelligence Enabled Research: DoSIER 2020 (Advances in Intelligent Systems and Computing #1279)
by Siddhartha Bhattacharyya Paramartha Dutta Kakali DattaThis book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence #1029)
by Siddhartha Bhattacharyya Sourav De Gautam DasThis book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Intelligence Science I: Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings (IFIP Advances in Information and Communication Technology #510)
by Zhongzhi Shi, Ben Goertzel and Jiali FengThis book constitutes the refereed proceedings of the Second International Conference on Intelligence Science, ICIS 2017, held in Shanghai, China, in October 2017.The 38 full papers and 9 short papers presented were carefully reviewed and selected from 82 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: theory of intelligence science; cognitive computing; big data analysis and machine learning; machine perception; intelligent information processing; and intelligent applications.
Intelligence Science II: Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings (IFIP Advances in Information and Communication Technology #539)
by Zhongzhi Shi Cyriel Pennartz Tiejun HuangThis book constitutes the refereed proceedings of the Third International Conference on Intelligence Science, ICIS 2018, held in Beijing China, in November 2018.The 44 full papers and 5 short papers presented were carefully reviewed and selected from 85 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: brain cognition; machine learning; data intelligence; language cognition; perceptual intelligence; intelligent robots; fault diagnosis; and ethics of artificial intelligence.
Intelligence Science III: 4th IFIP TC 12 International Conference, ICIS 2020, Durgapur, India, February 24–27, 2021, Revised Selected Papers (IFIP Advances in Information and Communication Technology #623)
by Samarjit Kar Mihir Chakraborty Zhongzhi ShiThis book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.
Intelligence Science IV: 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28–31, 2022, Proceedings (IFIP Advances in Information and Communication Technology #659)
by Zhongzhi Shi Yaochu Jin Xiangrong ZhangThis book constitutes the refereed proceedings of the 5th International Conference on Intelligence Science, ICIS 2022, held in Xi'an, China, in August 2022. The 41 full and 5 short papers presented in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Brain cognition; machine learning; data intelligence; language cognition; remote sensing images; perceptual intelligence; wireless sensor; and medical artificial intelligence.
Intelligence Science V: 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings (IFIP Advances in Information and Communication Technology #720)
by Qi Tian Zhongzhi Shi Michael WitbrockThis book constitutes the refereed proceedings of the 6th IFIP TC 12 International Conference on Intelligence Science, ICIS 2024, held in Nanjing, China, in October 25-28, 2024. The 23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections: Machine Learning; Causal Reasoning; Large Language Model; Intelligent Robot; Perceptual Intelligence; AI for Science; Medical Artificial Intelligence.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
by Zhi-Hua Zhou Xiaofei He Xinbo Gao Yanning Zhang Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng ZhangThe two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II (Lecture Notes in Computer Science #11936)
by Liang Xiao Jian Yang Zhen Cui Jinshan Pan Shanshan ZhangThe two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
Intelligence Science and Big Data Engineering. Image and Video Data Engineering
by Zhi-Hua Zhou Xiaofei He Xinbo Gao Yanning Zhang Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng ZhangThe two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11935)
by Liang Xiao Jian Yang Zhen Cui Jinshan Pan Shanshan ZhangThe two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning.
Intelligence Science and Big Data Engineering: 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings (Lecture Notes in Computer Science #10559)
by Yi Sun, Huchuan Lu, Lihe Zhang, Jian Yang and Hua HuangThis book constitutes the proceedings of the 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017, held in Dalian, China, in September 2017.The 48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal processing; and recommendation.
Intelligence Science and Big Data Engineering: 8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11266)
by Kai Yu Jiwen Lu Yuxin Peng Xingpeng JiangThis book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.
Intelligence Studies in Business: A Guide to Navigating the Competitive Landscape (Management for Professionals)
by Klaus Solberg SöilenThis book explores the evolution of intelligence research over the past two decades, emphasizing the development and implementation of intelligence functions in private and public organizations. A comprehensive framework for conducting intelligence analysis is presented, establishing and operating intelligence teams, and addressing the adjacent ethical questions raised by the nature of this field of study. The key themes addressed include the methodology of intelligence analysis, the establishment of effective intelligence teams, and the concept of "disruptive intelligence," an emerging term referring to the identification of innovations with the potential to transform industries, making products more accessible and affordable. The book argues that recognizing these disruptions early allows incumbents to protect their businesses and new entrants to capitalize on emerging opportunities. This book stands out by blending theoretical insights with practical applications, making it an essential read for those involved in intelligence, strategic planning, and innovation management.
Intelligence Support Systems: Technologies for Lawful Intercepts
by Paul Hoffmann Kornel TerplanTelecommunications service providers face increasing information assistance requests to help law enforcement while they simultaneously struggle with CapEx and OpEx reductions. On the other hand, law enforcement agencies face expensive telecommunication interface options for data collection as they battle with a growing backlog of subpoena requests.
Intelligence and Security Informatics
by Hsinchun Chen Michael Chau G. Alan WangThisbook constitutes the refereed proceedings of the 11th Pacific Asia Workshop onIntelligence and Security Informatics, PAISI 2016, held in Auckland, NewZealand, in April 2016 in conjunction with PAKDD 2016, the 20th Pacific-AsiaConference on Knowledge Discovery and Data Mining. The7 revised full papers presented together with 7 short papers were carefullyreviewed and selected from 23 submissions. The papers cover network-based dataanalytics, data and text mining, and cyber security and infrastructureprotection.
Intelligence and Security Informatics
by Hsinchun Chen Michael Chau G. Alan WangThe IEEE International Conference on Intelligence and Security Informatics (ISI) and Pacific Asia Workshop on Intelligence and Security Informatics (PAISI) conference series (http://www. isiconference. org) have drawn significant attention in the recent years. Intelligence and Security Informatics is concerned with the study of the dev- opment and use of advanced information technologies and systems for national, int- national, and societal security-related applications. The ISI conference series have brought together academic researchers, law enforcement and intelligence experts, - formation technology consultant and practitioners to discuss their research and pr- tice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, - ber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, information assurance, among others. In this book, we collect the work of the most active researchers in the area. Topics include data and text mining in terr- ism, information sharing, social network analysis, Web-based intelligence monitoring and analysis, crime data analysis, infrastructure protection, deception and intent det- tion and more. Scope and Organization The book is organized in four major areas. The first unit focuses on the terrorism - formatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infrastructure protection, and privacy. The forth unit presents surveillance and emergency response.
Intelligence for Embedded Systems
by Cesare AlippiAddressing current issues of which any engineer or computer scientist should be aware, this monograph is a response to the need to adopt a new computational paradigm as the methodological basis for designing pervasive embedded systems with sensor capabilities. The requirements of this paradigm are to control complexity, to limit cost and energy consumption and to provide adaptation and cognition abilities allowing the embedded system to interact proactively with the real world. The quest for such intelligence requires the formalization of a new generation of intelligent systems able to exploit advances in digital architectures and in sensing technologies. The book sheds light on the theory behind intelligence for embedded systems with specific focus on: · robustness (the robustness of a computational flow and its evaluation); · intelligence (how to mimic the adaptation and cognition abilities of the human brain), · the capacity to learn in non-stationary and evolving environments by detecting changes and reacting accordingly; and · a new paradigm that, by accepting results that are correct in probability, allows the complexity of the embedded application the be kept under control. Theories, concepts and methods are provided to motivate researchers in this exciting and timely interdisciplinary area. Applications such as porting a neural network from a high-precision platform to a digital embedded system and evaluatin g its robustness level are described. Examples show how the methodology introduced can be adopted in the case of cyber-physical systems to manage the interaction between embedded devices and physical world. Researchers and graduate students in computer science and various engineering-related disciplines will find the methods and approaches propounded in Intelligence for Embedded Systems of great interest. The book will also be an important resource for practitioners working on embedded systems and applications.
Intelligence for Future Cities: Planning Through Big Data and Urban Analytics (The Urban Book Series)
by Robert Goodspeed Raja Sengupta Christopher Pettit Marketta KyttäThis book contains a selection of the best papers presented at the Computational Urban Planning and Urban Management (CUPUM) conference, held in June 2023 at McGill University in Montreal, Quebec. Major themes of this book are smart cities, urban big data, and shared mobility. This book also contains chapters with cutting-edge research on urban modeling, walkability and bikeability analysis, and planning support systems (PSS).
Intelligence in Big Data Technologies—Beyond the Hype: Proceedings of ICBDCC 2019 (Advances in Intelligent Systems and Computing #1167)
by J. Dinesh Peter Amir H. Alavi Steven L. FernandesThis book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.
Intelligence in Chip: Integrated Sensors and Memristive Computing
by Alex James Bhaskar Choubey Alon AscoliIntelligence in Chips: Integrated Sensors and Memristive Computing is an authoritative resource that navigates the exciting landscape of in-memory computing, neuromorphic circuits, and memristive technologies. This book curates expert insights from leading researchers like Abu Sebastian, Alex James, Alon Ascoli, Arindam Basu, Cory Merkel, Fernando Corinto, Jason Eshraghian, Rainer Waser, Spiros Nikolaidis, Stephan Menzel, and Vishal Saxena, highlighting some of the important contributions in the field. Through a comprehensive collection of talks, readers will gain deep insights into how memristive neural computing is revolutionizing artificial intelligence.The book covers the latest innovations in memristor array computing, brain-inspired circuits, neuromorphic event-driven vision, bio-inspired computing, and nonlinear phenomena in biological systems. Each chapter is authored by a distinguished expert, offering a multi-perspective analysis on how emerging technologies are pushing the boundaries of edge-AI and mixed-signal hardware.Whether you're a researcher, engineer, or student, this book is an essential guide that explores the confluence of circuit theory, artificial intelligence, and memristor technology, providing readers with practical methodologies and visionary outlooks for the future.
Intelligence in IoT-enabled Smart Cities
by Fadi Al-TurjmanSmart Cities and intelligence are among the most significant topics in IoT. Intelligence in communication and infrastructure implementation is at the heart of this concept, and its development is a key issue in smart cities. This book addresses the challenges in realizing intelligence in smart cities and sensing platforms in the era of cloud computing and IoT, varying from cost and energy efficiency to availability and service quality. It focuses on both the design and implementation aspects of artificial intelligence approaches in smart cities and sensing applications that are enabled and supported by IoT paradigms, and mainly on data delivery approaches and their performability aspects.
Intelligence of Things: AI-IoT Based Critical-Applications and Innovations
by Fadi Al-Turjman Anand Nayyar Ajantha Devi Piyush Kumar ShuklaThis book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.
Intelligence of Things: The First International Conference on Intelligence of Things (ICIot 2022), Hanoi, Vietnam, August 17–19, 2022, Proceedings (Lecture Notes on Data Engineering and Communications Technologies #148)
by Ngoc-Thanh Nguyen Nhu-Ngoc Dao Quang-Dung Pham Hong Anh LeThis book constitutes the refereed proceedings of the First Conference on Intelligence of Things (ICIoT 2022), held in Hanoi, Vietnam, in August 2022. A total of 40 full papers in this book have been rigorously peer-reviewed and selected from over 100 submissions. The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments. This book provides interested students and engineers with comprehensive and cutting-edge studies in the fields.
Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #187)
by Ngoc Thanh Nguyen Nhu-Ngoc Dao Tran Ngoc ThinhThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.