Machine Learning Hybridization and Optimization for Intelligent Applications
Herausgeber: Pandey, Bishwajeet Kumar; Sardar, Tanvir Habib
Machine Learning Hybridization and Optimization for Intelligent Applications
Herausgeber: Pandey, Bishwajeet Kumar; Sardar, Tanvir Habib
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This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
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This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 384
- Erscheinungstermin: 28. Oktober 2024
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032737539
- ISBN-10: 1032737530
- Artikelnr.: 70370886
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 384
- Erscheinungstermin: 28. Oktober 2024
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032737539
- ISBN-10: 1032737530
- Artikelnr.: 70370886
Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, machine learning, fuzzy logic, and distributed computing using MapReduce. Bishwajeet Kumar Pandey is a Professor at Department of Intelligent System and Cyber Security, Astana IT University Kazaksthan. He is also a visiting professor at Eurasian National University, Astana, Kazaksthan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He has interest in Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.
1. Big data computing - transforming from cloud computing to edge
scheduling perspectives review. 2. Decision Making In The Field Of Unmanned
Aerial Vehicles: State-of-the-Art. 3. A Brief Study on Understanding and
Handling COVID-19: Test Bed for Forecasting with Deep Learning and Machine
Learning Algorithms. 4. AgTech: Using Sensors and Analytics to
Revolutionize Farming Practices (IoT). 5. Developing AI based Multi-Task
Transfer learning framework for Automating Judicial Contracts. 6. Analysis
of deep learning methodologies for handling non-medical big data's and very
limited medical data's with feature extraction and annotation techniques.
7. Introduction to Virtualization Security and Cloud Security. 8.Security
Breaches in IoT Applications: An Extensive Study. 9.Arrhythmia Detection
Using Machine Learning Algorithms. 10. A Big data analytics: The
classification of remote sensing images using machine learning techniques.
11. Segmentation of Transmission Tower Components based on Machine
Learning. 12. A Systematic Analysis on Robot Path Planning and Optimization
Techniques. 13.Pneumonia Prediction Model using Deep Learning on Docker.
14. A Sequential Deep Learning Model Approach to OCR based Handwritten
Digit Recognition for Physically Impaired People. 15. A deep learning
strategy to Sign Language Classification and Recognition for hearing
impaired people. 16. Non-fungible tokens (NFT): The Design and Development
of Obstacle Assault Game and Turtle Sidestep game. 17. Design and
Development of 2D Space Shooter Game and Arcade game Using Unity. 18. An
Ensemble Technique using Genetic Algorithm and Deep Learning for the
Prediction of Rice Diseases. 19. History of Machine Learning. 20. Internet
of Things Start-ups: An Overview of the Privacy and Security in IoT
Start-ups.
scheduling perspectives review. 2. Decision Making In The Field Of Unmanned
Aerial Vehicles: State-of-the-Art. 3. A Brief Study on Understanding and
Handling COVID-19: Test Bed for Forecasting with Deep Learning and Machine
Learning Algorithms. 4. AgTech: Using Sensors and Analytics to
Revolutionize Farming Practices (IoT). 5. Developing AI based Multi-Task
Transfer learning framework for Automating Judicial Contracts. 6. Analysis
of deep learning methodologies for handling non-medical big data's and very
limited medical data's with feature extraction and annotation techniques.
7. Introduction to Virtualization Security and Cloud Security. 8.Security
Breaches in IoT Applications: An Extensive Study. 9.Arrhythmia Detection
Using Machine Learning Algorithms. 10. A Big data analytics: The
classification of remote sensing images using machine learning techniques.
11. Segmentation of Transmission Tower Components based on Machine
Learning. 12. A Systematic Analysis on Robot Path Planning and Optimization
Techniques. 13.Pneumonia Prediction Model using Deep Learning on Docker.
14. A Sequential Deep Learning Model Approach to OCR based Handwritten
Digit Recognition for Physically Impaired People. 15. A deep learning
strategy to Sign Language Classification and Recognition for hearing
impaired people. 16. Non-fungible tokens (NFT): The Design and Development
of Obstacle Assault Game and Turtle Sidestep game. 17. Design and
Development of 2D Space Shooter Game and Arcade game Using Unity. 18. An
Ensemble Technique using Genetic Algorithm and Deep Learning for the
Prediction of Rice Diseases. 19. History of Machine Learning. 20. Internet
of Things Start-ups: An Overview of the Privacy and Security in IoT
Start-ups.
1. Big data computing - transforming from cloud computing to edge
scheduling perspectives review. 2. Decision Making In The Field Of Unmanned
Aerial Vehicles: State-of-the-Art. 3. A Brief Study on Understanding and
Handling COVID-19: Test Bed for Forecasting with Deep Learning and Machine
Learning Algorithms. 4. AgTech: Using Sensors and Analytics to
Revolutionize Farming Practices (IoT). 5. Developing AI based Multi-Task
Transfer learning framework for Automating Judicial Contracts. 6. Analysis
of deep learning methodologies for handling non-medical big data's and very
limited medical data's with feature extraction and annotation techniques.
7. Introduction to Virtualization Security and Cloud Security. 8.Security
Breaches in IoT Applications: An Extensive Study. 9.Arrhythmia Detection
Using Machine Learning Algorithms. 10. A Big data analytics: The
classification of remote sensing images using machine learning techniques.
11. Segmentation of Transmission Tower Components based on Machine
Learning. 12. A Systematic Analysis on Robot Path Planning and Optimization
Techniques. 13.Pneumonia Prediction Model using Deep Learning on Docker.
14. A Sequential Deep Learning Model Approach to OCR based Handwritten
Digit Recognition for Physically Impaired People. 15. A deep learning
strategy to Sign Language Classification and Recognition for hearing
impaired people. 16. Non-fungible tokens (NFT): The Design and Development
of Obstacle Assault Game and Turtle Sidestep game. 17. Design and
Development of 2D Space Shooter Game and Arcade game Using Unity. 18. An
Ensemble Technique using Genetic Algorithm and Deep Learning for the
Prediction of Rice Diseases. 19. History of Machine Learning. 20. Internet
of Things Start-ups: An Overview of the Privacy and Security in IoT
Start-ups.
scheduling perspectives review. 2. Decision Making In The Field Of Unmanned
Aerial Vehicles: State-of-the-Art. 3. A Brief Study on Understanding and
Handling COVID-19: Test Bed for Forecasting with Deep Learning and Machine
Learning Algorithms. 4. AgTech: Using Sensors and Analytics to
Revolutionize Farming Practices (IoT). 5. Developing AI based Multi-Task
Transfer learning framework for Automating Judicial Contracts. 6. Analysis
of deep learning methodologies for handling non-medical big data's and very
limited medical data's with feature extraction and annotation techniques.
7. Introduction to Virtualization Security and Cloud Security. 8.Security
Breaches in IoT Applications: An Extensive Study. 9.Arrhythmia Detection
Using Machine Learning Algorithms. 10. A Big data analytics: The
classification of remote sensing images using machine learning techniques.
11. Segmentation of Transmission Tower Components based on Machine
Learning. 12. A Systematic Analysis on Robot Path Planning and Optimization
Techniques. 13.Pneumonia Prediction Model using Deep Learning on Docker.
14. A Sequential Deep Learning Model Approach to OCR based Handwritten
Digit Recognition for Physically Impaired People. 15. A deep learning
strategy to Sign Language Classification and Recognition for hearing
impaired people. 16. Non-fungible tokens (NFT): The Design and Development
of Obstacle Assault Game and Turtle Sidestep game. 17. Design and
Development of 2D Space Shooter Game and Arcade game Using Unity. 18. An
Ensemble Technique using Genetic Algorithm and Deep Learning for the
Prediction of Rice Diseases. 19. History of Machine Learning. 20. Internet
of Things Start-ups: An Overview of the Privacy and Security in IoT
Start-ups.