Deep Learning Applications in Operations Research
Herausgeber: Chaudhary, Aryan; Kar, Rahul; Mukherjee, Gunjan; Basu Mallik, Biswadip
Deep Learning Applications in Operations Research
Herausgeber: Chaudhary, Aryan; Kar, Rahul; Mukherjee, Gunjan; Basu Mallik, Biswadip
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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.
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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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 262
- Erscheinungstermin: 30. Dezember 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 699g
- ISBN-13: 9781032708027
- ISBN-10: 1032708026
- Artikelnr.: 70149500
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: CRC Press
- Seitenzahl: 262
- Erscheinungstermin: 30. Dezember 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 699g
- ISBN-13: 9781032708027
- ISBN-10: 1032708026
- Artikelnr.: 70149500
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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.
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
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
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
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