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Data, Engineering and Applications : Select Proceedings of IDEA 2021 / edited by Sanjeev Sharma, Sheng-Lung Peng, Jitendra Agrawal, Rajesh K. Shukla, Dac-Nhuong Le
(Lecture Notes in Electrical Engineering. ISSN:18761119 ; 907)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	IX, 705 p. 314 illus., 235 illus. in color : online resource
著者標目	Sharma, Sanjeev editor Peng, Sheng-Lung editor Agrawal, Jitendra editor Shukla, Rajesh K editor Le, Dac-Nhuong editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001496	Computer Scinece R0 2005-6,2022-3				9789811946875

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一般注記	1. Medical Assistance Chatbot using Deep Learning -- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos -- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique -- 4. Machine Learning Techniques for Intrusion Detection System: A Survey -- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN) -- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning -- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection -- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA -- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents -- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications HTTP:URL=https://doi.org/10.1007/978-981-19-4687-5
件　名	LCSH:Engineering -- Data processing 全ての件名で検索 LCSH:Information technology -- Management 全ての件名で検索 LCSH:Machine learning LCSH:Big data FREE:Data Engineering FREE:Computer Application in Administrative Data Processing FREE:Machine Learning FREE:Big Data
分　類	LCC:TA345-345.5 DC23:620.00285
書誌ID	EB00000884
ISBN	9789811946875