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Titlebook: Intelligent Systems; Proceedings of ICMIB Siba K. Udgata,Srinivas Sethi,Satish N. Srirama Conference proceedings 2021 The Editor(s) (if app

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书目名称Intelligent Systems
副标题Proceedings of ICMIB
编辑Siba K. Udgata,Srinivas Sethi,Satish N. Srirama
视频video
概述Presents recent research in the field of machine learning and big data.Discusses the outcomes of ICMIB 2020, held in Sarang, India.Serves as a reference resource for researchers and practitioners in a
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent Systems; Proceedings of ICMIB Siba K. Udgata,Srinivas Sethi,Satish N. Srirama Conference proceedings 2021 The Editor(s) (if app
描述This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
出版日期Conference proceedings 2021
关键词ICMIB 2020; Internet of Things; Mobile Computing; Machine Learning; Multi-agent Systems; Natural Language
版次1
doihttps://doi.org/10.1007/978-981-33-6081-5
isbn_softcover978-981-33-6080-8
isbn_ebook978-981-33-6081-5Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
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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Garg Priyanka,Santanu Kumar Dash,Vangala Padmajalation of a diferential diagnosis that is brief and simultaneously thorough allows for consideration of- all pos sibilities, proper evaluation, and, hopefully, rapid diagnosis. We hope to provide the target rea978-3-540-75887-7
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Subasish Mohapatra,Jijnasee Dash,Subhadarshini Mohanty,Arunima Hota
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Plant Disease Recognition from Leaf Images Using Convolutional Neural Network,oss all layers. The sparse categorical cross entropy loss function is considered with Adam optimization algorithm to fine tune the network parameters by minimizing the loss function. The proposed model achieved a training accuracy of 96.39%, validation accuracy of 90.97%, and testing accuracy of 90.
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Ranjan K. Behera,Swati Sneha,Rustom Kumarcribes the structure of an eight-round FEAL and its . function. The key scheduling algorithm is replaced by a key processing algorithm, which makes the subkeys depend on the key in a more complex way. The key processing algorithm and its . function are described in Figure 6.2.
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