An Ensemble Feature Selection Framework for the Early Non-invasive Prediction of Parkinsons 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 Alzheimers 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 Generation based on Song Lyrics and its Management
Recognition of Handwritten Gujarati Conjuncts using the Convolutional Neural Network Architectures: AlexNet, GoogLeNet, Inception V3, and ResNet50
Evolving Spiking Neural Network as a Classifier: An Experimental Review
Elements of TinyML on constrained resource hardware
A Meta-Heuristic based Clustering Mechanism for Wireless Sensor Networks
Univariate Time Series Forecasting of Indian Agriculture Emissions
A Novel Multimodal Fusion Technique For Text Based Hate Speech Classification
Detection of Breast Tumor in Mammograms using Single Shot Detector Algorithm
Monthly runoff prediction by hybrid CNN-LSTM model: A case study
Analysis of Malaria Incident Prediction for India
Meta-Learning for Few-shot Insect Pest Detection in Rice Crop
Analysis and Applications of Biogeography Based Optimization Techniques for Problem Solving
A Proposed Model for Precision Agriculture.