Deep Learning Applications in Operations Research

1. Predicting Crop Yield using Quantum Neural Networks 2. A Comprehensive Survey on Risk Factor Monitoring Using Deep Learning Methods on Electrocardiogram Data 3. Data-centric in AI Perspective Challenges in Deep Learning 4. Multi-Attribute Decision Modeling 5. Unmasking Transformations: CNNs for Detecting Land Cover Changes in Satellite Imagery 6. Leafine: An AI Tool to Recognize and Perceive Leaf Illness with Manure Suggestions 7. An Expansive Performance Analysis and Comparison Between Different Supervised and Unsupervised ML Algorithms for Categorization of Some Indian Hospital’s ICU Patients 8. Darknet in Multiple Gun Detection for Suspicious Activity Detection and Crime Prediction 9. Image Edge Detection Using Fireflies Fine-Tuned Deep Convolution Networks 10. Application of Machine Learning, Deep Learning and Econometric Models in Stock Price Movement of Rain Industry: An In-Depth Analysis 11. Performance Analysis of U-Net and Fully Convolutional Regression Network on Jetson Nano for the Real-Time Inventory Analysis 12. Clinical Decision Support System for Prevention of Puberty Disorders and Infertility Problems due to Noyyal River Pollution using Ensemble Learning Techniques 13. Obesity Prediction Using Machine Learning 14. Intuitionistic Fuzzy Dombi-Archimedean Weighted Aggregation Operators and Their Applications in Sustainable Material Selection 15. Identification of Rice Leaf Disease Detection Using Gaussian Mixture Model: A Machine Learning Approach Using Image Classification Technique 16. Multi-Objective Optimization of Economic Development and Environmental Issues on Yangtze River Basin, China 17. Qualitative Study on E-Commerce and Brick-and-Mortar: A Machine Learning Approach 18. Design of Novel Energy Management System in Solar PV Powered EV Charging Station Using Artificial Gorilla Troops Optimization 19. School Students Cataract Prediction Using Machine Learning 20. Minimization of the Threat of Diabetic Kidney Disease through the Lens of Machine Learning 21. A Novel Segmentation and Feature Extraction-Based Plant Disease Diagnosis Method Based on Stacked Ensemble Learning