Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices
- 1st Edition - October 29, 2025
- Latest edition
- Editors: Aditya Khamparia, Deepak Gupta
- Language: English
Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techni… Read more
Description
Description
Other sections cover blockchain and fog computing models for medical sensor data storage and evolutionary optimization for biometric feature identification and recognition, amongst others.
Key features
Key features
- Covers recent computational advancements in biomedical-driven biometrics for connected healthcare
- Explores intelligent computational multimodal technologies for healthcare, incorporating deep learning, parallel computing, and distributed computing
- Presents security aspects of next-generation healthcare technologies, including machine learning, deep learning, and blockchain integration with IoT for information fusion, data security, and trust management
- Provides both fundamental and high-level concepts, making it suitable for both industry professionals and beginners
- Includes applications of cloud and pervasive computing technologies in biometrics for real-world scenarios
Readership
Readership
Table of contents
Table of contents
2. Computational Medical Imaging for Biometrics using MRI and X-ray
3. AI Cybersecurity in Healthcare for Cyber-Physical Systems
4. Securing Healthcare Systems using Biometrics: A State-of-the-Art Systematic Literature Review and Future Research Directions
5. Social Media Analytics Using Deep Neural Networks for Mental Healthcare Applications
6. Energy Efficiency in IoT-based WSNs
7. Predictive Detection of Breast Cancer with Artificial Neural Network and Support Vector Machine
8. Evolutionary Optimization for Biometric Feature Identification and Recognition: A Survey
9. Comparative Analysis of Explainable Artificial Intelligence (XAI) Techniques on Cancer Dataset- addressing the “Black Box Problem”
10. Risk Monitoring Strategy for Confidentiality of Healthcare Information
11. Security Vulnerabilities against Fingerprint Biometric Systems
12. Adaptalytics of Students’ To Online Learning Using Machine Learning Classifiers And Sequential Neural Network
13. A Survey on Suicidal Rate Trends in Society using Machine Learning Models
14. AI assisted Wireless Capsule Endoscopy Devices for Gastrointestinal Tract Screening: A Review
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 4, 2025
- Language: English
About the editors
About the editors
AK
Aditya Khamparia
DG
Deepak Gupta
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.