Deep Learning Applications in Operations Research

^{Preface
Editor Biographies}

^{1. Predicting Crop Yield Using Quantum Neural Networks
Banu Priya Prathaban, R. Subash, and M. Sathesh}

^{2. A Comprehensive Survey on Risk Factor Monitoring Using Deep Learning Methods on Electrocardiogram Data
Dipanwita Saha, Gunjan Mukherjee, Arpitam Chatterjee, and Bipan Tudu}

^{3. AI-Powered Data-Centric Approaches: Enhancing Information Quality for Deep Learning Algorithms
S. Mythili and S. Kowsalya}

^{4. Multi-Attribute Decision Modeling
Fluturim Saliu, Minghai Yang, and Waqar Akbar Khan}

^{5. Unmasking Transformations: CNNs for Detecting Land Cover Changes in Satellite Imagery
Sejal Thakkar, Chirag Patel, Ahmed Shaikh, Divyanshi Detroja, and Ved Suthar}

^{6. Leafine: An AI Tool to Recognize and Perceive Leaf Illness with Manure Suggestions
S. Prince Sahaya Brighty, M. Brindha, and R. Anuradha}

^{7. An Expansive Performance Analysis and Comparison between Different Supervised and Unsupervised ML Algorithms for Categorization of ICU Patients at an Indian Hospital
Amrita Ghosh, Partha Das, Subrata Jana, Bibhas Chandra. Giri, and Anirban Sarkar}

^{8. Darknet for Gun and Suspicious Activity Detection and Crime Prediction
V. S. Gulhane and A. M. Bhugul}

^{9. Image Edge Detection Using Fireflies to Fine-Tuned Deep Convolution Networks
M. Jansirani and P. Sumitra}

^{10. Application of Machine Learning, Deep Learning, and Econometric Models in Stock Price Movement of Rain Industries: An In-Depth Analysis
Abhijit Biswas and Meghdoot Ghosh}

^{11. Performance Analysis of U-Net and Fully Convolutional Regression Network on Jetson Nano for Real-Time Inventory Analysis
Vinayak Bharadi, Suha Mukadam, Rahul Prasad, Kavyashree Upparakakula, and Janhavi Jaygade}

^{12. Clinical Decision Support System for Prevention of Puberty Disorders and Fertility Issues due to Noyyal River Pollution using Ensemble Learning Techniques
Anitha Shanmugam, Chandrasekaran Viswanathan, and Pradhanika Mohankumar}

^{13. Obesity Prediction Using Machine Learning
Kala Raja Mohan, Nagadevi Bala Nagaram, R. Narmada Devi, Regan Murugesan, and Subashini Chandrasekar}

^{14. Intuitionistic Fuzzy Dombi-Archimedean Weighted Aggregation Operators and Their Applications in Sustainable Material Selection
Abhijit Saha and P. Sumitra}

^{15. Identification of Rice Leaf Disease Using Gaussian Mixture Model: A Machine Learning Approach Using Image Classification Techniques
Binoy Sasmal, Rajat Subhra Goswami, and Manas Pratim Dutta}

^{16. Multi-Objective Optimization of Economic Development and Environmental Issues in the Yangtze River Basin, China
Minh Thu Nguyen}

^{17. Qualitative Study on E-Commerce and Brick-and-Mortar Stores: A Machine Learning Approach
Sanjay Das, Soumen Santra, and Anirban Sarkar}

^{18. Design of Novel Energy Management System in Solar PV Powered EV Charging Station Using Artificial Gorilla Troops Optimization
M. Sathesh, Banu Priya Prathaban, and R. Priyanka}

^{19. School Students’ Cataract Prediction Using Machine Learning
Nagadevi Bala Nagaram, R. Narmada Devi, Kala Raja Mohan, and Sathish Kumar Kumaravel}

^{20. Minimization of the Threat of Diabetic Kidney Disease through the Lens of Machine Learning
Sudipta Adhikary, Kaushik Chanda, Gunjan Mukherjee, and Kaushik Banerjee}

^{21. A Novel Segmentation and Feature Extraction-Based Plant Disease Diagnosis Method Based on Stacked Ensemble Learning
Karthickmanoj R., S. Aasha Nandhini, and Sasilatha T.}

^{Contributors
Index}

Biography

Dr. Aryan Chaudhary is Chief Scientific Advisor at Bio Tech Sphere Research, India.

Dr. Biswadip Basu Mallik is Associate Professor of Mathematics in the Department of Basic Science & Humanities at the Institute of Engineering & Management, within the University of Engineering & Management in Kolkata, India.

Dr. Gunjan Mukherjee is Associate Professor in the Department of Computational Science at Brainware University in Barasat, India.

Dr. Rahul Kar is a state-aided faculty member in the Department of Mathematics at Kalyani Mahavidyalaya in Kalyani, West Bengal, India.