Topical Drifts in Intelligent Computing [electronic resource] : Proceedings of International Conference on Computational Techniques and Applications (ICCTA 2021) / edited by Jyotsna Kumar Mandal, Pao-Ann Hsiung, Rudra Sankar Dhar.

Skin Cancer Detection using Computer Vision -- A Comparative Study Of Machine Learning Algorithms For Anomaly Based Network Intrusion Detection System -- An Effective Approach For Detecting Acute Lymphoblastic Leukemia Using Deep Convolutional Neural Networks -- Use of Support Vector Machine to Check Whether Process Metrics are as good as Static Code Metrics -- Social distancing using video tracking system- An effort towards CoVID-19 -- A Universal Dependency Treebank for Definitely Endangered Low Resource Kangri Language -- Analysis of Unsupervised Statistical Machine Translation using Cross-lingual Word Embedding for English Hindi -- A Ternary Sentiment Classification of Bangla Text Data Using Support Vector Machine and Random Forest Classifier. .

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Computational Techniques and Applications (ICCTA 2021), organized by the Electronics and Telecommunication Engineers (IETE), Kolkata Center, India, during 8 – 9 October 2021. This includes research in the areas of intelligent computing and communication systems including computing, electronics, green energy design, communications, computers to interact and disseminate information on latest developments both academically and industrially for computational drifts. The three main tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology.