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Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed

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书目名称Congress on Intelligent Systems
副标题Proceedings of CIS 2
编辑Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal
视频videohttp://file.papertrans.cn/236/235525/235525.mp4
概述Includes novel and innovative work from experts, practitioners, scientists and decision-makers.Presents recent research in intelligent systems presented at CIS 2020, New Delhi, India.Serves as a refer
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed
描述This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India during September 5 – 6, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles,intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rou
出版日期Conference proceedings 2021
关键词Intelligent Systems (Hardware & Software); Machine Vision; Robotics and Control; Computational intellig
版次1
doihttps://doi.org/10.1007/978-981-33-6981-8
isbn_softcover978-981-33-6980-1
isbn_ebook978-981-33-6981-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Yoram Shiftan,Sigal Kaplan,Shalom Hakkertce artificial intelligence systems. Along with the successful use of neural networks and various machine learning algorithms, the theory and methods of logical inference play an important role. These mechanisms are indispensable in the design of such knowledge processing systems as expert systems, d
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Yvonne Bontekoning,Jan Jacob Tripission congestion is one of the major concerns for power system operator and planner. Thus, this paper presents a multi-objective grasshopper optimization technique for congestion line management considering the demand response programs. The objective of this congestion management problem is to redu
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