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Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Mukesh Saraswat,Harish Sharma,Jagdish Chand Bansal Conference proceedings 2022 The Ed

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書目名稱Congress on Intelligent Systems
副標(biāo)題Proceedings of CIS 2
編輯Mukesh Saraswat,Harish Sharma,Jagdish Chand Bansal
視頻videohttp://file.papertrans.cn/236/235527/235527.mp4
概述Includes novel and innovative work from experts, practitioners, scientists, and decision-makers.Presents recent research in intelligent systems presented at CIS 2021, Bengaluru, India.Serves as a refe
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Mukesh Saraswat,Harish Sharma,Jagdish Chand Bansal Conference proceedings 2022 The Ed
描述This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. 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 networ
出版日期Conference proceedings 2022
關(guān)鍵詞Intelligent Systems; Machine Vision; Robotic Devices and Systems; Computational Intelligence; CIS 2021 P
版次1
doihttps://doi.org/10.1007/978-981-16-9416-5
isbn_softcover978-981-16-9415-8
isbn_ebook978-981-16-9416-5Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
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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Leaf Disease Identification in Rice Plants Using CNN Model,e. The mobile application also provides necessary remedies for the identified disease with the help of hyperlink available in mobile application. The achieved probability that the model can truly classify the input image in this project was 97.67%, and the obtained validation accuracy was 98.86%. A
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Twitter Sentiment Analysis Based on Neural Network Techniques,nions. Sentiment analysis of Twitter data is a field that has gained a lot of interest over the past decade. This requires breaking up “tweets” to detect the sentiment of the user. This paper delves into various classification techniques to analyse Twitter data and get their sentiments. Here, differ
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Enhanced Stock Market Prediction Using Hybrid LSTM Ensemble, an ensemble of long short-term memory (LSTM) model. It analyzes the results of individual LSTM models in predicting stock prices and creates an ensemble model in an effort to improve the overall performance of the prediction. The proposed model is evaluated on real-world data of 4 companies from Ya
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,A Study of Decision Tree Classifier to Predict Learner’s Progression, class work, test marks, activities participated, project work, learning process, behavior and attitude toward learning, and questioning skills to predict the overall performance of learners. The learner’s performance is predicted by finding accuracy of aspects considered for study thereby calculati
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Energy-Efficient ACO-DA Routing Protocol Based on IoEABC-PSO Clustering in WSN,formation from member nodes for better communication. After the completion of CH election, the routing is performed to transmit gathered information between elected CH and base station by using ant colony optimization with Dijkstra algorithm to obtain better performance result. Finally, the polling
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