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Titlebook: Machine Intelligence and Smart Systems; Proceedings of MISS Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta Conference proceedings 2022 Th

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书目名称Machine Intelligence and Smart Systems
副标题Proceedings of MISS
编辑Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta
视频video
概述Presents research works in machine intelligence and smart systems.Gathers the outcomes of MISS 2021, held in Gwalior, India.Serves as a reference resource for researchers and practitioners in academia
丛书名称Algorithms for Intelligent Systems
图书封面Titlebook: Machine Intelligence and Smart Systems; Proceedings of MISS  Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta Conference proceedings 2022 Th
描述This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.
出版日期Conference proceedings 2022
关键词Computational Intelligence; Machine Learning; Deep Learning; Evolutionary Computation; Biological Comput
版次1
doihttps://doi.org/10.1007/978-981-16-9650-3
isbn_softcover978-981-16-9652-7
isbn_ebook978-981-16-9650-3Series ISSN 2524-7565 Series E-ISSN 2524-7573
issn_series 2524-7565
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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,Deep Reinforcement Learning for Optimal Traffic Control,tive level tasks. Reinforcement learning (RL) can guide an agent how to act in the world. The interface to a reinforcement learning agent is much broader than just data; it can be the entire environment. The invent of deep learning (DL) architectures has facilitated the tackling of high-dimensional
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Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint Tweets,the grievance tweets for further analysis to get the better idea of the situation and provide timely help really can play critical role for local governance. High velocity of the tweets makes the manual identification of the relevant complaint tweets a strenuous task. Existing studies experimented w
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A Novel Approach for Semantic Microservices Description and Discovery Toward Smarter Applications,ot only enabling producing enterprise-scale applications from the ground up, but also simplifying legacy applications getting partitioned into a dynamic pool of microservices. These fine-grained services are being positioned as the optimal application building-block and the unit of application deplo
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Application of Reinforcement Learning in Control Systems for Designing Controllers,esign that has tackled real-world systems. PID controller is such an example of that. The task of the controller is to meet the design criteria chosen to govern the dynamic behavior of the system. Traditional controllers, such as PID, use conventional methods to find the parameters of controllers. B
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