This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 - 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate studentsand researchers interested in exploring solution frameworks for social good problems using artificial intelligence.

Text to Image Classification using Attn: Gan With Dense Net Architecture.- Cyclone Detection and Forecasting Using Deep Neural Networks through Satellite Data.- An Improved Differential Evolution Scheme for Multilevel Image Thresholding Aided with Fuzzy Entropy.- Clustered Fault Repairing Architecture for 3D ICs using Redundant TSV.- The Implementation of Similarity Measures in Group Decision-Making Problems by Signless Laplacian Energy of an Intuitionistic Fuzzy Graph.- Uniform Grid Formation by Asynchronous Fat Robots.- A LSB Substitution based Steganography Technique using DNA Computing for Color Images.- An Approach of Safe Stock Prediction using Genetic Algorithm.- Suicide Ideation Detection in Online Social Networks: A Comparative Review.- An Improved K-Means Algorithm for Effective Medical Image Segmentation.- Breast Cancer Histopathological Image Classification using Convolutional Neural Networks.- A Framework for Predicting Placement of a Graduate using Machine Learning Techniques.