Описание: Offers the contributions presented at the ninth in the series of Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS) conferences covering advanced research, development, and technology for computational intelligence systems - both from foundations and applications points-of-view.
Описание: This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020.
Описание: This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November - December 2020. intelligent management information systems; intelligent modeling and simulation approaches for games and real world systems;
Описание: This book constitutes the Proceeding of the Computational Intelligence in Information Systems conference (CIIS 2020), held in Brunei, January 25-27, 2021.
Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing.
Описание: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020.
Описание: It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.
Описание: During the United States’ involvement in the war in Vietnam, the decision by the US Marine Corps to emphasise counterinsurgency operations in coastal areas was the cause of considerable friction between the Marines and the army commanders in Vietnam, who wanted the corps to conduct more conventional operations. This book will examine the background to the Marines’ decision and place it in the context of Marine Corps doctrine, infrastructure and logistical capability. For the first time, this book brings together the Marine Corps’ background in counterinsurgency and the state of contemporary counterinsurgency theory in the 1960s - combining this with the strategic outlook, role, organisation and logistic capability of the Marine Corps to provide a complete view of its counterinsurgency operations. This book will argue that the US Marine Corps successfully used counterinsurgency as a means to achieve their primary aim in Vietnam – the defence of three major bases in the coastal area in the north of the Republic of Vietnam – and that the corps’ decision to emphasise a counterinsurgency approach was driven as much by its background and infrastructure as it was by the view that Vietnam was a ‘war for the people’. This book is also an important contribution to the current debate on counterinsurgency, which is now seen by many in the military doctrine arena as a flawed or invalid concept following the perceived failures in Iraq and Afghanistan - largely because it has been conflated with nation-building or democratisation. Recent works on British counterinsurgency have also punctured the myth of counterinsurgency as being a milder form of warfare - with the main effort being the wellbeing of the population - whereas in fact there is still a great deal of violence involved. This book will bring the debate ‘back to basics’ by providing an historical example of counterinsurgency in its true form: a means of dealing with terrorist or guerrilla warfare at an operational level to achieve a specific aim in a specific area within a specific period of time.
Описание: This volume constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2020, held in Agartala, India, in December 2020. The 23 full papers and 4 short papers were carefully reviewed and selected from 113 submissions.
Описание: This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020.The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. minority language information processing;
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Fact-Checking, Fake News and Malware Detection in Online Social Networks;
Автор: Mandal Jyotsna K., Mukhopadhyay Somnath, Roy Alak Название: Applications of Internet of Things: Proceedings of Iccciot 2020 ISBN: 9811561974 ISBN-13(EAN): 9789811561979 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1.Design of an Industrial Internet of Things enabled Energy Management System of a Grid Connected Solar-Wind Hybrid System based Battery Swapping Charging Station for Electric Vehicle.- Chapter 2.Modeling and Implementation of Advanced Electronic Circuit Breaker Technique for Protection.- Chapter 3. Peristaltic Transport of Casson Fluid in a Porous Channel in Presence of Hall Current.- Chapter 4.Fingerprint Authentication System for BaaS Protocol.- Chapter 5.Design of a Low Cost Li-Fi System Using Table Lamp.- Chapter 6. A Study of Micro Ring Resonator Based Optical Sensor.- Chapter 7. An Efficient Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks.- Chapter 8. Detection of early Breast Cancer using A-priori rule mining and Machine learning approaches.- Chapter 9. Effect of Linear Features to Determination of Sleep Stages Classification from Dual-Channel of EEG signal using Machine Learning Techniques.- Chapter 10. A Tree Multicast Routing based on Fuzzy mathematics in Mobile Ad-hoc Networks.
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