The Future of Artificial Neural Networks
Author: Indrajit Ghosal ，Arun Mittal ，and Hemlata Jain
Publication: Nova Science Publishers, Inc.
Publication Date 出版日期: May 17, 2024
Language 语言: English
Print Length 页数: 199 pages
ISBN-13: 9798891136656
Book Description
This book is a compilation of eleven quality articles exploring a variety of aspects on applications of ANN. Various authors of the articles from India and abroad have presented their work around the applications of ANN in healthcare and self-medication behaviour, Stock Market Analytics, ANN integrated application for industries including regulatory complaining aspect in Banking Industry, Deep Learning Framework in Medical Diagnosis, Face Recognition, Mobile Learning in Medical Education, Process and Applications of ANN using MATLAB, etc.
Table of Contents
Preface
Chapter 1. The Importance of Artificial Neural Networks in Decision Making for the Field of Medicine
Serdar Abut¹, ², PhD and Hayrettin Okut², ³, PhD
¹Department of Computer Engineering, Siirt University, Siirt, Turkiye
²Department of Office of Research, University of Kansas School of Medicine, Wichita, Kansas, USA
³Department of Population Health, University of Kansas School of Medicine, Wichita, Kansas, USA
Chapter 2. Real-Time Outlier Detection in Streaming Data: Deep Learning-Based Approach
Saharsh Gera
Department of Computer Science, Institute of Innovation in Technology and Management, New Delhi, India
Chapter 3. Unsupervised Learning in Civil Engineering
Yavuz Abut¹, PhD and Serdar Abut²,³, PhD
¹Department of Transportation Engineering, Yalova University, Yalova, Turkiye
²Department of Computer Engineering, Siirt University, Siirt, Turkiye
³Department of Office of Research, University of Kansas School of Medicine-Wichita, Kansas, USA
Chapter 4. Investor Opinions Regarding the Use of Artificial Neural Network (ANN) Technology in Indian Investment Services
Rajeev Kumar Sinha¹, PhD, Angad Tiwary², PhD, and Hemlata Jain³, PhD
¹School of Commerce and Management, ARKA JAIN University, Jharkhand
²ARKA JAIN University, Jharkhand
³School of Computer Science and Engineering, Poornima University, Jaipur, Rajasthan, India
Chapter 5. Application of Deep Learning to Identify Cervical Spine Fractures Using a Modified VGG16-Based Model
Prithwish Raymahapatra¹, Avijit Kumar Chaudhuri², and Sulekha Das³
¹UG-Computer Science and Engineering, Techno Engineering College Banipur, Habra, Kolkata, India
²Computer Science and Engineering, Brainware University, Barasat, Kolkata, India
³Computer Science and Engineering, Techno Engineering College Banipur, Habra, Kolkata, India
Chapter 6. A Study of Artificial Neural Networks Using MATLAB and Its Future Application in Forecasting
Govind Shay Sharma¹, Randhir Singh Baghel², and Harkaran Singh³
¹Department of Mathematics, Vivekananda Global University, Jaipur, Rajasthan, India
²Department of Mathematics, Poornima University, Jaipur, Rajasthan, India
³Chisholm Institute of Technical and Further Education, Berwick, Victoria, Australia
Chapter 7. Applications of Artificial Neural Networks in the E-Commerce Industry: A Qualitative Exploration
K. Anitha¹, PhD and Aditya Kumar Sahu², PhD
¹Department of Management Studies, Faculty of Humanities and Science, Meenakshi Academy of Higher Education and Research, Chennai, India
²Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, AP, India
Chapter 8. Comprehensive Review of Applications of Artificial Intelligence (AI) and Artificial Neural Network (ANN) in Healthcare Sector: Current Trends and Future Perspectives
Upasana Diwan¹, PhD, Arjun Mittal², PhD, and D. D. Chaturvedi³, PhD
¹Rukmini Devi Institute of Advanced Studies, GGSIP University, India
²Hans Raj College, University of Delhi, Formerly Assistant Professor in Commerce, Shri Ram College of Commerce, University of Delhi, India
³Sri Guru Gobind Singh College of Commerce, University of Delhi, New Delhi, India
Chapter 9. Face Recognition Using Residual Neural Network in Artificial Neural Network
Nikita Sharma¹, Abhilasha Khandelwal¹, Tanishq Jain¹, and Brijesh Sharma²
¹Poornima University, Jaipur, India
²BITS Pilani, Jaipur, India
Chapter 10. Gradient Boosting Machine Combine Model Create Robust and Accurate Model of Regulatory Complaining Aspect in the Banking Industry
Bindiya Jain¹ and Indrajit Ghosal²
¹Poornima University, Jaipur, India
²Department of Management and Commerce, Brainware University, Barasat, Kolkata, India
Chapter 11. Segmenting Brain Tumors in MRI Scans: An Advance U-Net-based Deep Learning Framework
Shikha Sharma¹, PhD and Vijay Prakash Sharma², PhD
¹Department of Computer Science and Engineering, Poornima University, Jaipur, India
²Department of Information Technology, Manipal University Jaipur, Jaipur, India
