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Emerging Research in Computing, Information, Communication and Applications
ISBN-13:
9789811613388
Veröffentl:
2021
Einband:
eBook
Seiten:
542
Autor:
N. R. Shetty
Serie:
789, Lecture Notes in Electrical Engineering
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.
Design of a Secure Blockchain Based Privacy Preserving Electronic Voting System.- A Nature Inspired Algorithm for Enhancement of Fused MRI and CT Brain Images.- Recent Advances and Future Directions of Assistive Technologies for Alzheimer’s Patients.- Research on Security awareness to protect data through Ontology and Cloud Computing.- Driver Activity Monitoring using MobileNets.- Prediction of Crop Production using Analysis Algorithms.- A Deep Learning Approach for Speedbumpand Pothole Detection using sensordata.- Decision Tree based Crop Yield Prediction using Agro-Climatic parameters.- Regression based Data pre-processing technique for predicting missing values.- An Improved Stacked Sparse Auto-encoder Method for Network Intrusion Detection.