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.