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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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書目名稱Congress on Intelligent Systems
副標(biāo)題Proceedings of CIS 2
編輯Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal
視頻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
叢書名稱Advances in Intelligent Systems and Computing
圖書封面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
關(guān)鍵詞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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Danang Parikesit,Bambang Susantono the cause of the defects. In the log messages generated by systems such as Android, a wide variety of component outputs are mixed and makes it very difficult to identify the problem from the vast amount of log data. The ultimate goal of this research is to develop a GUI tool to visualize anomalies
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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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