Design of Intelligent Application Using Machine Learning and Deep Learning Techniques
Series: A Chapman & Hall BookPublisher: Boca Raton: CRC Press; 2022Description: 432pISBN: 9780367679798Subject(s): Machine Learning -Industrial Applications | Apprentissage Automatique -- Applications Industrials | Computer , Artificial Intelligence | Science , System Theory | Technology , MachineryDDC classification: 006.31| Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Reference
|
SOT Library | Computer Science and Engineering | 006.31 DES (Browse shelf) | Available | E0015791 |
Contents:
Chapter: 1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning Applications
Chapter: 2. Fundamental Models in Machine Learning and Deep Learning
Chapter: 3. Research Aspects of Machine Learning: Issues, Challenges, and Future Scope
Chapter: 4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications
Chapter: 5. Application of Deep Learning in Counting WBCs, RBCs, and Blood Platelets Using Faster Region-Based Convolutional Neural Network
Chapter: 6. Application of Neural Network and Machine Learning in Mental Health Diagnosis
Chapter: 7. Application of Machine Learning in Cardiac Arrhythmia
Chapter: 8. Advances in Machine Learning and Deep Learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An Overview
Chapter: 9. Applications of Machine Learning in Psychology and the Lifestyle Disease Diabetes Mellitus
Chapter: 10. Application of Machine Learning and Deep Learning in Thyroid Disease Prediction
Chapter: 11. Application of Machine Learning in Fake News Detection
Chapter: 12. Authentication of Broadcast News on Social Media Using Machine Learning
Chapter: 13. Application of Deep Learning in Facial Recognition
Chapter: 14. Application of Deep Learning in Deforestation Control and Prediction of Forest Fire Calamities
Chapter: 15. Application of Convolutional Neural Network in Feather Classifications
Chapter: 16. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants
Chapter: 17. Machine Learning Techniques to Classify Breast Cancer
Chapter: 18. Application of Deep Learning in Cartography Using UNet and Generative Adversarial Network
Chapter: 19. Evaluation of Intrusion Detection System with Rule-Based Technique to Detect Malicious Web Spiders Using Machine Learning
Chapter: 20. Application of Machine Learning to Improve Tourism Industry
Chapter: 21. Training Agents to Play 2D Games Using Reinforcement Learning
Chapter: 22. Analysis of the Effectiveness of the Non-Vaccine Countermeasures Taken by the Indian Government against COVID-19 and Forecasting Using Machine Learning and Deep Learning
Chapter: 23. Application of Deep Learning in Video Question Answering System
Chapter: 24. Implementation and Analysis of Machine Learning and Deep Learning Algorithms
Chapter: 25. Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach
There are no comments on this title.