Air Quality Prediction using Machine Learning -- Machine Learning Based Ensemble Network Security System -- Machine Learning based Air Pollution Prediction -- Intelligent IoT-based Product Dispenser and Billing System -- Speech Emotion Recognition using K-Nearest Neighbor Classifier -- Variants of Fuzzy C-means on MRI Modality for Cancer Image Archives -- Medical Image Encryption using SCAN Technique and Chaotic Tent Map System -- An Approach to Noisy Synthetic Color Image Segmentation using Unsupervised Competitive Self Organizing Map -- Implementing Face Search using HAAR cascade -- A Fast Block-based Technique to Detect Copy-move Forgery in Digital Images -- Bottlenecks in Finite Impulse Response Filter Architectures on a Reconfigurable Platform -- A Detail Analysis and Implementation of HAAR Cascade Classifier -- Sentiment Analysis of Twitter Posts in English, Kannada and Hindi Languages -- An Efficient Algorithm for Fruit Ripeness Detection -- A Comparative Study of Efficient Classification Models -- A Neural Attention Model for Automatic Question Generation using Dual Encoders.

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.