Proceedings of Data Analytics and Management

Psychological stress and mental health among seafarers.- Real Time Face-Mask Detection and Analysis System.- Gait Recognition Biometric System.- Fighting Media Hyper-partisanship with Modern Language Representation Models.- ANN Based Handwritten Digit Recognition and Equation Solver.- Hyperspectral Imaging in Document Forgery.- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm.- Study and Development of Self Sanitizing Smart Elevator.- Predict COVID-19 with Chest X-ray.- Image Segmentation Techniques: A Survey.- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0.- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting.- Decentralized Library Management system using Blockchain technology.- Content based Image Retrieval using Deep Learning.- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor.- Image Classification inPython using Keras.- Predictive Analytics on E-commerce Annual Sales.- A Survey on Deep Learning Methods in Image Analytics.- Journey of Letters to Vectors through Neural Networks.- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors.- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning.- Index Optimization using Wavelet Tree and Compression.

Dr. Deepak Gupta received a B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, India. He received M.E. degree in 2010 from Delhi Technological University, India and Ph. D. degree in 2017 from Dr. APJ Abdul Kalam Technical University, India. He has completed his Post-Doc from Inatel, Brazil. With 13 years of rich expertise in teaching and two years in the industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Intelligent Data Analysis, BioMedical Engineering, Artificial Intelligence, and Soft Computing. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals (IEEE, Elsevier, Springer, & Wiley). He has actively been an organizing end of various reputed International conferences. He has authored/edited 43 books with National/International level publishers (IEEE, Elsevier, Springer, Wiley, Katson). He has published 162 scientific research publications in reputed International Journals and Conferences including 83 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more.

Dr. Zdzislaw Polkowski is an Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also the Rector's Representative for International Cooperation and Erasmus Programme and former dean of the Technical Sciences Faculty during the period of 2009-2012 His area of research includes Management Information Systems, Business informatics, IT in business and administration, IT security, Small Medium Enterprises, CC, IoT, Big Data, Business Intelligence, and Block chain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in the various parts of the world. He is also playing the role principal investigator.