Design of intelligent applications using machine learning and deep learning techniques. (2021)

• Record Type: Book
• Further Information: Note: Edited by Ramchandra Sharad Mangrulkar, Antonis Michalas, Narendra Shekokar, Meera Narvekar, Pallavi Vijay Chavan.
• Editors: Mangrulkar, Ramchandra Sharad; Michalas, Antonis; Shekokar, Narendra; Narvekar, Meera; Chavan, Pallavi Vijay
• Contents: 1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning Applications Kallol Bosu Roy Choudhuri and Ramchandra S. Mangrulkar 2. Fundamental Models in Machine Learning and Deep Learning Tatwadarshi P. Nagarhalli, Ashwini M. Save, and Narendra M. Shekokar 3. Research Aspects of Machine Learning: Issues, Challenges, and Future Scope Reena Thakur, Mayur Tembhurney, and Dheeraj Rane 4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications Archana Vasant Mire, Vinayak Elangovan, and Bharti Dhote 5. Application of Deep Learning in Counting WBCs, RBCs, and Blood Platelets Using Faster Region-Based Convolutional Neural Network Nirav Jain, Shail Shah, Ramchandra S. Mangrulkar, and Pankaj Sonawane 6. Application of Neural Network and Machine Learning in Mental Health Diagnosis Aniruddha Das, Enakshie Prasad, and Sindhu Nair 7. Application of Machine Learning in Cardiac Arrhythmia Gresha S. Bhatia, Shefali Athavale, Yogita Bhatia, Tanya Mohanani, and Akanksha Mittal 8. Advances in Machine Learning and Deep Learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An Overview Shivaji D. Pawar, Kamal Kr. Sharma, and Suhas G. Sapate 9. Applications of Machine Learning in Psychology and the Lifestyle Disease Diabetes Mellitus Ruhina Karani, Dharmik Patel, Akshay Chudasama, Dharmil Chhadva, and Gaurang Oza 10. Application of Machine Learning and Deep Learning in Thyroid Disease Prediction Aditi Vora, Ramchandra S. Mangrulkar, Narendra M. Shekokar, and Meera Narvekar 11. Application of Machine Learning in Fake News Detection Smita Bhoir, Jyoti Kundale, and Smita Bharne 12. Authentication of Broadcast News on Social Media Using Machine Learning Smita Sanjay Ambarkar, Narendra M. Shekokar, Monika Mangla, and Rakhi Akhare 13. Application of Deep Learning in Facial Recognition Jimit Gandhi, Aditya Jeswani, Fenil Doshi, Parth Doshi, and Ramchandra S. Mangrulkar 14. Application of Deep Learning in Deforestation Control and Prediction of Forest Fire Calamities Muskan Goenka and Ramchandra S. Mangrulkar 15. Application of Convolutional Neural Network in Feather Classifications Milind Shah, Keval Nagda, Anirudh Mukherjee, and Pratik Kanani 16. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants Saiqa Khan, Meera Narvekar, Anam Khan, Aqdus Charolia, and Mushrifah Hasan 17. Machine Learning Techniques to Classify Breast Cancer Drashti Shah and Ramchandra S. Mangrulkar 18. Application of Deep Learning in Cartography Using UNet and Generative Adversarial Network Deep Gandhi, Govind Thakur, Pranit Bari, and Khushali Deulkar 19. Evaluation of Intrusion Detection System with Rule-Based Technique to Detect Malicious Web Spiders Using Machine Learning Nilambari G. Narkar and Narendra M. Shekokar 20. Application of Machine Learning to Improve Tourism Industry Krutibash Nayak and Saroj Kumar Panigrahy 21. Training Agents to Play 2D Games Using Reinforcement Learning Harshil Jhaveri, Nishay Madhani, and Narendra M. Shekokar 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 Akash Shah, Romil Shah, Manan Gandhi, Rashmil Panchani, Govind Thakur, and Kriti Srivastava 23. Application of Deep Learning in Video Question Answering System Mansi Pandya, Arnav Parekhji, Aniket Shahane, Palak V. Chavan, and Ramchandra S. Mangrulkar 24. Implementation and Analysis of Machine Learning and Deep Learning Algorithms Samip Kalyani, Neel Vasani, and Ramchandra S. Mangrulkar 25. Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach Neel Patel, Prem Bhajaj, Pratik Panchal, Tanmai Prabhune, Pankaj Sonawane, and Ramchandra S. Mangrulkar Index
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 006.31; Machine learning -- Industrial applications
• Languages: English
• ISBNs: 9781000423884; 9781000423839; 9781003133681
• Related ISBNs: 9780367679798
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.