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Data, Engineering and Applications = Select Proceedings of IDEA 2021 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data, Engineering and Applications/ edited by Sanjeev Sharma, Sheng-Lung Peng, Jitendra Agrawal, Rajesh K. Shukla, Dac-Nhuong Le.
其他題名:
Select Proceedings of IDEA 2021 /
其他作者:
Le, Dac-Nhuong.
面頁冊數:
IX, 705 p. 314 illus., 235 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Big Data. -
電子資源:
https://doi.org/10.1007/978-981-19-4687-5
ISBN:
9789811946875
Data, Engineering and Applications = Select Proceedings of IDEA 2021 /
Data, Engineering and Applications
Select Proceedings of IDEA 2021 /[electronic resource] :edited by Sanjeev Sharma, Sheng-Lung Peng, Jitendra Agrawal, Rajesh K. Shukla, Dac-Nhuong Le. - 1st ed. 2022. - IX, 705 p. 314 illus., 235 illus. in color.online resource. - Lecture Notes in Electrical Engineering,9071876-1119 ;. - Lecture Notes in Electrical Engineering,317.
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.
ISBN: 9789811946875
Standard No.: 10.1007/978-981-19-4687-5doiSubjects--Topical Terms:
1017136
Big Data.
LC Class. No.: TA345-345.5
Dewey Class. No.: 620.00285
Data, Engineering and Applications = Select Proceedings of IDEA 2021 /
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