Deep Learning Applications in Operations Research (eBook, PDF)

Redaktion: Chaudhary, Aryan; Kar, Rahul; Mukherjee, Gunjan; Basu Mallik, Biswadip

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 274
• Erscheinungstermin: 30. Dezember 2024
• Englisch
• ISBN-13: 9781040107911
• Artikelnr.: 72285090

Autorenporträt

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.

Inhaltsangabe

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