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Advances in Computing and Network Communications Proceedings of CoCoNet 2020, Volume 2

Title
Advances in Computing and Network Communications [electronic resource] : Proceedings of CoCoNet 2020, Volume 2 / edited by Sabu M. Thampi, Erol Gelenbe, Mohammed Atiquzzaman, Vipin Chaudhary, Kuan-Ching Li.
ISBN
9789813369870
Edition
1st ed. 2021.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2021.
Physical Description
XX, 611 p. 275 illus., 205 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14-17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 12, 2021
Series
Lecture Notes in Electrical Engineering, 736
Lecture Notes in Electrical Engineering, 736
Contents
Part 1: Machine Learning, Visual Computing and Signal Processing
Chapter 1. Computational Reconstructions of Extracellular Action Potentials and Local Field Potentials of a Rat Cerebellum using Point Neurons
Chapter 2. Iris Recognition using Integer Wavelet Transform and Log Energy Entropy
Chapter 3. Deep Learning Based Approach for Skin Burn Detection with Multi-level Classification
Chapter 4. Semantic Retrieval of Microbiome Information Based on Deep Learning
Chapter 5. Early Detection of Covid-19 on CT Scans Using Deep Learning Techniques
Chapter 6. Towards Protein Tertiary Structure Prediction using LSTM/BLSTM
Chapter 7. An Android Based Smart Home Automation System in Native Language
Chapter 8. Live Acoustic Monitoring of Forests to Detect Illegal Logging and Animal Activity
Chapter 9. CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing
Chapter 10. Prediction of Energy Consumption using Statistical and Machine Learning Methods and Analysing the Significance of Climate and Holidays in the Demand Prediction
Chapter 11. Ranking of Educational Institutions based on user priorities using AHP-PROMETHEE Approach
Chapter 12. Using AUDIT Scores to Identify Synbiotic Supplement Effect in High Risk Alcoholics
Chapter 13. Accurate Identification of Cardiac Arrhythmia using Machine Learning Approaches
Chapter 14. Learning based Macro Nutrient Detection Through Plant Leaf
Chapter 15. Characteristics of Karawitan Musicians' Brain: sLORETA Investigation.
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