Advances in Computing and Network Communications Proceedings of CoCoNet 2020 Volume 2 Lecture Notes in Electrical Engineering 736 1st editon by Sabu Thampi, Erol Gelenbe, Mohammed Atiquzzaman, Vipin Chaudhary, Kuan Ching Li- Ebook PDF Instant Download/Delivery: 9813369876, 9789813369870
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Product details:
ISBN 10: 9813369876
ISBN 13: 9789813369870
Author: Sabu M. Thampi, Erol Gelenbe, Mohammed Atiquzzaman, Vipin Chaudhary, Kuan-Ching Li
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.
Advances in Computing and Network Communications Proceedings of CoCoNet 2020 Volume 2 Lecture Notes in Electrical Engineering 736 1st Table of contents:
- Front Matter
- Machine Learning, Visual Computing and Signal Processing
- Computational Reconstructions of Extracellular Action Potentials and Local Field Potentials of a Rat Cerebellum Using Point Neurons
- Iris Recognition Using Integer Wavelet Transform and Log Energy Entropy
- Deep Learning-Based Approach for Skin Burn Detection with Multi-level Classification
- Semantic Retrieval of Microbiome Information Based on Deep Learning
- Early Detection of COVID-19 from CT Scans Using Deep Learning Techniques
- Towards Protein Tertiary Structure Prediction Using LSTM/BLSTM
- An Android-Based Smart Home Automation System in Native Language
- Live Acoustic Monitoring of Forests to Detect Illegal Logging and Animal Activity
- CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing
- Prediction of Energy Consumption Using Statistical and Machine Learning Methods and Analyzing the Significance of Climate and Holidays in the Demand Prediction
- Ranking of Educational Institutions Based on User Priorities Using AHP-PROMETHEE Approach
- Using AUDIT Scores to Identify Synbiotic Supplement Effect in High-Risk Alcoholics
- Learning-Based Macronutrient Detection Through Plant Leaf
- Characteristics of Karawitan Musicians’ Brain: sLORETA Investigation
- Automatic Detection of Parkinson Speech Under Noisy Environment
- Voice Conversion Using Spectral Mapping and TD-PSOLA
- Haze Removal Using Generative Adversarial Network
- Natural Language Processing
- Fake News Detection Using Passive-Aggressive Classifier and Other Machine Learning Algorithms
- Generative Adversarial Network-Based Language Identification for Closely Related Same Language Family
- Statistical and Neural Machine Translation for Manipuri-English on Intelligence Domain
- Fake Review Detection Using Hybrid Ensemble Learning
- Utilizing Corpus Statistics for Assamese Word Sense Disambiguation
- A Novel Approach to Text Summarisation Using Topic Modelling and Noun Phrase Extraction
- Part of Speech Tagging Using Bi-LSTM-CRF and Performance Evaluation Based on Tagging Accuracy
- Clustering Research Papers: A Qualitative Study of Concatenated Power Means Sentence Embeddings over Centroid Sentence Embeddings
- Semantic Sensitive TF-IDF to Determine Word Relevance in Documents
- Web-Based Interactive Neuro-Psychometric Profiling to Identify Human Brain Communication and Miscommunication Processing
- Seventh International Symposium on Computer Vision and the Internet (VisionNet’20)
- Deep Visual Attention Based Transfer Clustering
- Video Retrieval Using Residual Networks
- Dynamic Search Paths for Visual Object Tracking
- Thermal Facial Expression Recognition Using Modified ResNet152
- Real-Time Retail Smart Space Optimization and Personalized Store Assortment with Two-Stage Object Detection Using Faster Regional Convolutional Neural Network
- 2D-Image Super-Resolution on Heritage Site
- Automated Detection of Liver Tumor Using Deep Learning
- Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine
- Symposium on Emerging Topics in Computing and Communications (SETCAC’20)
- Providing Software Asset Management Compliance in Green Deployment Algorithm
- An Analysis of Rainstreak Modeling as a Noise Parameter Using Deep Learning Techniques
- Diverting Tantrum Behavior Using Percussion Instrument on Autistic Spectrum Disorders
- Text Sentiment Analysis Using Artificial Intelligence Techniques
- Internet Performance Profiling of Countries
- Modelling a Folded N-Hypercube Topology for Migration in Fog Computing
- Brain Electric Microstate of Karawitan Musicians’ Brain in Traditional Music Perception
- MIMO-Based 5G Data Communication Systems
- Android Malware Classification Based on Static Features of an Application
- Performance Evaluation of Cross-Layer Routing Metrics for Multi-radio Wireless Mesh Network
- Modelling a Plain N-Hypercube Topology for Migration in Fog Computing
- Back Matter
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Sabu Thampi,Erol Gelenbe,Mohammed Atiquzzaman,Vipin Chaudhary,Kuan Ching Li,Computing