- Table View
- List View
Intelligence Computation and Applications: 14th International Symposium, ISICA 2023, Guangzhou, China, November 18–19, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2147)
by Yong Liu Kangshun LiThis two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18–19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications. Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Intelligence-Driven Incident Response: Outwitting the Adversary
by Rebekah Brown Scott J RobertsUsing a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, you’ll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process.Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship.In three parts, this in-depth book includes:The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work togetherPractical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD process—Find, Fix Finish, Exploit, Analyze, and DisseminateThe way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building
Intelligence-Driven Incident Response: Outwitting the Adversary
by Rebekah Brown Scott J. RobertsUsing a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. In this updated second edition, you'll learn the fundamentals of intelligence analysis as well as the best ways to incorporate these techniques into your incident response process.Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This practical guide helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship.In three parts, this in-depth book includes:The fundamentals: Get an introduction to cyberthreat intelligence, the intelligence process, the incident response process, and how they all work togetherPractical application: Walk through the intelligence-driven incident response (IDIR) process using the F3EAD process: Find, Fix, Finish, Exploit, Analyze, and DisseminateThe way forward: Explore big-picture aspects of IDIR that go beyond individual incident response investigations, including intelligence team building
Intelligence Enabled Research: DoSIER 2021 (Studies in Computational Intelligence #1029)
by Siddhartha Bhattacharyya Gautam Das Sourav DeThis 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 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 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 Marketta Kyttä Christopher PettitThis 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 Steven L. Fernandes Amir H. AlaviThis 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 Alon Ascoli Bhaskar ChoubeyIntelligence 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.
An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence
by Osonde A. Osoba William Welser IvMachine learning algorithms and artificial intelligence influence many aspects of life today and have gained an aura of objectivity and infallibility. The use of these tools introduces a new level of risk and complexity in policy. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems.
Intelligence of Things: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #229)
by Nhu-Ngoc Dao Quang-Dung Pham Sungrae Cho Ngoc Thanh NguyenThis 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.
Intelligence of Things: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #230)
by Nhu-Ngoc Dao Quang-Dung Pham Sungrae Cho Ngoc Thanh NguyenThis 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.
Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #188)
by Nhu-Ngoc Dao Tran Ngoc Thinh Ngoc Thanh NguyenThis 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.
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 Nhu-Ngoc Dao Tran Ngoc Thinh Ngoc Thanh NguyenThis 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.
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: 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 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 Yuxin Peng Kai Yu Jiwen Lu 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 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. 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. Big Data and Machine Learning Techniques
by Zhancheng Zhang Fuyuan Hu Baochuan Fu Zhi-Yong Liu Zhi-Hua Zhou Yanning Zhang Xinbo Gao Xiaofei HeThe 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. Image and Video Data Engineering
by Zhancheng Zhang Fuyuan Hu Baochuan Fu Zhi-Yong Liu Zhi-Hua Zhou Yanning Zhang Xinbo Gao Xiaofei HeThe 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 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.