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The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies.
List of contents
1. Predicting Crop Yield Using Quantum Neural Networks, 2. A Comprehensive Survey on Risk Factor Monitoring Using Deep Learning Methods on Electrocardiogram Data, 3. AI-Powered Data-Centric Approaches: Enhancing Information Quality for Deep Learning Algorithms, 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 ICU Patients at an Indian Hospital, 8. Darknet for Gun and Suspicious Activity Detection and Crime Prediction, 9. Image Edge Detection Using Fireflies to Fine-Tuned Deep Convolution Networks, 10. Application of Machine Learning, Deep Learning, and Econometric Models in Stock Price Movement of Rain Industries: An In-Depth Analysis, 11. Performance Analysis of U-Net and Fully Convolutional Regression Network on Jetson Nano for Real-Time Inventory Analysis, 12. Clinical Decision Support System for Prevention of Puberty Disorders and Fertility Issues 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 Using Gaussian Mixture Model: A Machine Learning Approach Using Image Classification Techniques, 16. Multi-Objective Optimization of Economic Development and Environmental Issues in the Yangtze River Basin, China, 17. Qualitative Study on E-Commerce and Brick-and-Mortar Stores: 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
About the author
Biswadip Basu Mallik is a Senior Assistant Professor of Mathematics in the Department of Basic Sciences & Humanities at Institute of Engineering & Management, Kolkata, India.
Gunjan Mukherjee is an Assistant professor in the Department of Computational Science, Brainware University, Barasat, India.
Rahul Kar holds a master's degree in mathematics from Burdwan University and is currently working as a SACT-II Mathematics faculty of Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal.
Aryan Chaudhary is the Research Head and Lead Member of the research project launched by Nijji Healthcare Pvt Ltd.
Summary
The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies.
