Advances in Computing and Data Sciences

An Ensemble Feature Selection Framework for the Early Non-invasive Prediction of Parkinson's Disease from Imbalanced Microarray Data.- Optimization Enabled Neural Network forthe Rainfall Prediction in India.- Application Initiated Data Session as a Service for High Reliable and Safe Railway Communications.- Acute Lymphoblastic Leukemia Disease Detection Using Image Processing and Machine Learning.- Analysis of COVID-19 Detection Algorithms Based on Convolutional Neural Network Models Using Chest X-ray Images.- Data Analysis Using NLP To Sense Human Emotions Through Chatbot.- Medical cyber-physical systems enabled with permissioned blockchain.- Multiclass Classification of Disease using CNN and SVM of Medical Imaging.- Using KullBack-Liebler Divergence Based Meta-Learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework.- WE-Net: An Ensemble Deep Learning model for Covid-19 Detection in Chest X-ray Images using Segmentation and Classification.- Time to Response Prediction for following up on Account Receivables in Healthcare Revenue Cycle Management.- A Deep Learning Approach for Automated Detection and Classification of Alzheimer's Disease.- A Real-Time Driver assistance system using Object Detection and Tracking.- Cyber Crime Prediction Using Machine Learning.- Real-Time Image based Weapon Detection using YOLO Algorithms.- Audio Recognition using Deep Learning for Edge Devices.- Comparative Analysis on Joint Modeling of Emotion and Abuse Detection in Bangla language.- Determining dengue outbreak using predictive models.- Subjective Examination Evaluation Based on Spelling Correction and Detection Using Hamming Distance Algorithm.- Automated Classification of Sleep Stages using Single-channel EEG Signal: A Machine Learning-based method.- Tuning Proximal Policy Optimization Algorithm in Maze Solving with ML-Agents.- Efficient Approach to Employee Attrition Prediction by Handling Class Imbalance.- Password