Автор: Karimipour Hadis, Derakhshan Farnaz Название: Ai-Enabled Threat Detection and Security Analysis for Industrial Iot ISBN: 3030766128 ISBN-13(EAN): 9783030766122 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges.- Complementing IIoT Services through AI: Feasibility and Suitability.- Data Security and Privacy in Industrial IoT.- Blockchain Applications in the Industrial Internet of Things.- Application of Deep Learning on IoT-enabled Smart Grid Monitoring.- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis.- The Role of Machine Learning in IIoT Through FPGAs.- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT.- Classification and Intelligent Mining of Anomalies in Industrial IoT.- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things.- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems.- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System.- A Recurrent Attention Model for Cyber Attack Classification.
Описание: This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT.
Описание: Reviews current and future trends in Semantic Web research with the aim of making existing and potential applications more accessible to a broader community of academics, practitioners, and industry professionals. Covering topics including recommendation systems, semantic search, and ontologies, this reference is a valuable contribution to the existing literature in this discipline.
Автор: Bhattacharyya Siddhartha, Dutta Paramartha, Datta Kakali Название: Intelligence Enabled Research: Dosier 2020 ISBN: 9811592896 ISBN-13(EAN): 9789811592898 Издательство: Springer Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 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).
Автор: Zaporozhets Artur Название: Advanced Energy Technologies and Systems I ISBN: 303085745X ISBN-13(EAN): 9783030857455 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on modern technologies and systems for solving problems in the energy sector. New technologies for the construction of power plants based on renewable energy sources have been proposed and investigated.
Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.
Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.
Автор: Mirsad Had?ikadi?; Samir Avdakovi? Название: Advanced Technologies, Systems, and Applications II ISBN: 331989062X ISBN-13(EAN): 9783319890623 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
Описание: Presents Innovative and Interdisciplinary Applications of Advanced Technologies Scientific outcome of the 9th DAYS OF BHAAAS (Bosnian-HerzegovianAmerican Academy of Arts and Sciences) held in Teslic, Banja Vrucica, Teslic, Bosnia&Herzegovina at May 25. - 28. 2017
The book presents multidisciplinary topics from various disciplines such as of complex systems, biomedial engineering, power systems, power systems or mechanical engineering
Автор: Siddhartha Bhattacharyya; Sushmita Mitra; Paramart Название: Intelligence Enabled Research ISBN: 9811520208 ISBN-13(EAN): 9789811520204 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India).
Описание: Proceedings of the NATO Advanced Research Workshop on Advanced Information Technologies for Industrial Material Flow Systems held in Grenoble, France, June 13-17, 1988
Описание: This book presents the innovative and interdisciplinary application of advanced technologies. The latest developments in various fields of engineering have been presented through various papers in civil engineering, mechanical engineering, computing, electrical and electronics engineering, and others.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
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