AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones -- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis -- Feature Extraction and Machine Learning for the Classification of Fashion Materials -- Cardamom Quality Evaluation Employing Electronic Nose -- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays -- Analytical Study on Feature Selection for Big Data using Optimization Algorithms -- A Machine Learning Approach for Predicting the Death Time and Mortality -- Prediction of Crops Production Using Random Forest Regression -- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance -- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 - 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.