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Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices

Khamparia, Aditya Gupta Deepak
Heftet / 2025 / Engelsk

Produktdetaljer

ISBN
9780443330124
Publisert
2025-10-15
Utgiver
Elsevier Science Publishing Co Inc
Vekt
450 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
300

Redaktør
Khamparia, Aditya
Gupta Deepak

Biografisk notat

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. 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.

Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices

Khamparia, Aditya Gupta Deepak
Heftet / 2025 / Engelsk
Khamparia, Aditya Gupta Deepak
Heftet / 2025 / Engelsk
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Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techniques within a connected multi-modal environment, particularly emphasizing their applications in healthcare. The book explores cutting-edge methodological approaches that leverage technologies like blockchain and integrate them with information fusion, data security for medical devices, and trust management. Readers with find this to be a comprehensive overview of the topics covered, including machine learning and deep learning for biomedical-based biometrics, computational medical imaging techniques, security strategies for healthcare systems, AI technology for multimodal biometrics, and feature reduction techniques. Other sections cover blockchain and fog computing models for medical sensor data storage and evolutionary optimization for biometric feature identification and recognition, amongst others.
Les mer
1. Anomaly Detection in IoT using Fox Swarm Intelligence 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
Les mer
Focuses on recent computational advancements for biomedical driven biometrics in connected healthcare
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
Les mer

Relaterte produkter

Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techniques within a connected multi-modal environment, particularly emphasizing their applications in healthcare. The book explores cutting-edge methodological approaches that leverage technologies like blockchain and integrate them with information fusion, data security for medical devices, and trust management. Readers with find this to be a comprehensive overview of the topics covered, including machine learning and deep learning for biomedical-based biometrics, computational medical imaging techniques, security strategies for healthcare systems, AI technology for multimodal biometrics, and feature reduction techniques. Other sections cover blockchain and fog computing models for medical sensor data storage and evolutionary optimization for biometric feature identification and recognition, amongst others.
Les mer
1. Anomaly Detection in IoT using Fox Swarm Intelligence 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
Les mer
Focuses on recent computational advancements for biomedical driven biometrics in connected healthcare
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
Les mer

Produktdetaljer

ISBN
9780443330124
Publisert
2025-10-15
Utgiver
Elsevier Science Publishing Co Inc
Vekt
450 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
300

Redaktør
Khamparia, Aditya
Gupta Deepak

Biografisk notat

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. 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.

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