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Machine Learning in Healthcare and Security Advances, Obstacles, and Solutions

Pranav, Prashant Patel, Archana Jain, Sarika
Innbundet / 2024 / Engelsk

Produktdetaljer

ISBN
9781032478418
Publisert
2024-01-19
Utgiver
Vendor
CRC Press
Vekt
571 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
212

Redaktør
Pranav, Prashant
Patel, Archana
Jain, Sarika

Om bidragsyterne

Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time faculty at School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has completed her Postdoc from the Freie Universität Berlin, Berlin, Germany. She has filed a patent entitled "Method and System for Creating Ontology of Knowledge Units In A Computing Environment" in Nov 2019. She has received Doctor of Philosophy (Ph.D.) in Computer Applications and PG degree both from the National Institute of Technology (NIT) Kurukshetra, India in 2020 and 2016 respectively. She has qualified GATE and UGC-NET/JRF exams in year 2017. Dr. Patel has also contributed in research project funded by Defence Research and Development Organization (DRDO), for the period of two year. Dr. Patel is an author or co-author of more than 40 publications in numerous referred journals and conference proceedings. She has been awarded best paper award (four times) in the international conferences. She has served as a reviewer in various reputed journal and conferences. Dr. Patel has received various awards for presentation of research work at various international conferences, teaching and research institutions. She has edited six books and served as a guest editors in many well reputed journals. Dr. Patel served as a keynote at ICOECA-2022 and ICSADL 2022. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert System and Knowledge Warehouse.

Dr. Prashant Pranav is an Assistant Professor in the Department of Computer Science and Engineering, Birla Institute of Technology, Mesra. He completed his PhD from Birla Institute of Technology, Mesra in the field of Cryptography. His research interests include Cryptography, Cyber Security, Biometric Security, Digital Forensics, Algorithm Analysis, Network Security, Statistical Analysis and Musical Cryptography. He has published many research articles and conference proceedings in journals of repute. He also has authored four reference books with well known publishers.

Dr. Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra, India. Dr. Jain has authored or co-authored over 150 publications, including books. Dr. Jain has supervised four doctoral scholars who are well-placed now. She has received grants from DRDO, DST, CSIR, and NIT Kurukshetra for research projects; from AICTE (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and MHRD (twice) for hosting a reputed international faculty and for FDP. She works in collaboration with various researchers across the globe, including in Germany, Austria, Australia, Malaysia, Spain, the USA, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of the CSI. Among the awards and honors she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019 from NIT Kurukshetra. For more and most updated information, see https://sites.google.com/view/nitkkrsarikajain/.

Machine Learning in Healthcare and Security Advances, Obstacles, and Solutions

Pranav, Prashant Patel, Archana Jain, Sarika
Innbundet / 2024 / Engelsk
Pranav, Prashant Patel, Archana Jain, Sarika
Innbundet / 2024 / Engelsk
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This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
Les mer
The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms.
Les mer
PART I Natural Language Processing Using MLChapter 1 Application of Classification and Regression Techniques in Bank Fraud DetectionNikita SinghChapter 2 A Survey on Water Quality Monitoring and Controlling Using Different Modality of Machine Learning ModelPratiksha Singh and UrvashiChapter 3 Design of Tea Ontology for Precision-based Tea Crop Yield Prediction Using Machine LearningPallavi Nagpal, Deepika Chaudhary, and Jaiteg SinghChapter 4 Analyzing the Social Media Activities of Users Using Machine Learning and Graph Data SciencePuneet Kaur, Deepika Chaudhary, and Jaiteg SinghPART II AI and ML in HealthcareChapter 5 Deep Learning-Based Multiple Myeloma Identification Using Micro-imaging TechniqueShamama AnwarChapter 6 Artificial Intelligence (AI) on a Rise in HealthcareRitwik Dalmia, Sarika Jain, and Atef ShalanChapter 7 Applications of Multitarget Regression Models in HealthcareKirti Jain, Sharanjit Kaur, and Gunjan RaniChapter 8 XAI-based Autoimmune Disorders Detection Using Transfer LearningR.S.M. Lakshmi Patibandla, B. Tarakeswara Rao, Ramakrishna Murthy M, and Hemantha Kumar BhuyanChapter 9 Wearable Smart Technologies: Changing the Future of HealthcareShalini Mahato, Laxmi Kumari Pathak, Soni Sweta, and Dilip Kumar ChoubeyChapter 10 Different Security Breaches in Patients’ Data and Prevailing Ways to Counter ThemAnup W. Burange and Vaishali M. DeshmukhPART III Security Aspects of MLChapter 11 The Intersection of Biometrics Technology and Machine Learning: A Scientometrics AnalysisMousumi Karmakar and Keshav SinhaChapter 12 Can ML Be Used in Cybersecurity?Naghma Khatoon, Sharmistha Roy, and Ritushree NarayanChapter 13 GAN CryptographyPurushottam Singh, Prashant Pranav, and Sandip DuttaChapter 14 Security Aspects of Patient’s Data in a Medical Diagnostic SystemAnkita Kumari
Les mer

Relaterte produkter

This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
Les mer
The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms.
Les mer
PART I Natural Language Processing Using MLChapter 1 Application of Classification and Regression Techniques in Bank Fraud DetectionNikita SinghChapter 2 A Survey on Water Quality Monitoring and Controlling Using Different Modality of Machine Learning ModelPratiksha Singh and UrvashiChapter 3 Design of Tea Ontology for Precision-based Tea Crop Yield Prediction Using Machine LearningPallavi Nagpal, Deepika Chaudhary, and Jaiteg SinghChapter 4 Analyzing the Social Media Activities of Users Using Machine Learning and Graph Data SciencePuneet Kaur, Deepika Chaudhary, and Jaiteg SinghPART II AI and ML in HealthcareChapter 5 Deep Learning-Based Multiple Myeloma Identification Using Micro-imaging TechniqueShamama AnwarChapter 6 Artificial Intelligence (AI) on a Rise in HealthcareRitwik Dalmia, Sarika Jain, and Atef ShalanChapter 7 Applications of Multitarget Regression Models in HealthcareKirti Jain, Sharanjit Kaur, and Gunjan RaniChapter 8 XAI-based Autoimmune Disorders Detection Using Transfer LearningR.S.M. Lakshmi Patibandla, B. Tarakeswara Rao, Ramakrishna Murthy M, and Hemantha Kumar BhuyanChapter 9 Wearable Smart Technologies: Changing the Future of HealthcareShalini Mahato, Laxmi Kumari Pathak, Soni Sweta, and Dilip Kumar ChoubeyChapter 10 Different Security Breaches in Patients’ Data and Prevailing Ways to Counter ThemAnup W. Burange and Vaishali M. DeshmukhPART III Security Aspects of MLChapter 11 The Intersection of Biometrics Technology and Machine Learning: A Scientometrics AnalysisMousumi Karmakar and Keshav SinhaChapter 12 Can ML Be Used in Cybersecurity?Naghma Khatoon, Sharmistha Roy, and Ritushree NarayanChapter 13 GAN CryptographyPurushottam Singh, Prashant Pranav, and Sandip DuttaChapter 14 Security Aspects of Patient’s Data in a Medical Diagnostic SystemAnkita Kumari
Les mer

Produktdetaljer

ISBN
9781032478418
Publisert
2024-01-19
Utgiver
Vendor
CRC Press
Vekt
571 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
212

Redaktør
Pranav, Prashant
Patel, Archana
Jain, Sarika

Om bidragsyterne

Dr. Archana Patel is an Assistant Professor, School of Law, Forensic Justice, & Policy Studies, (General Computer Applications/IT), National Forensic Sciences University, Gandhinagar, Gujarat, India. She has worked as a full time faculty at School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has completed her Postdoc from the Freie Universität Berlin, Berlin, Germany. She has filed a patent entitled "Method and System for Creating Ontology of Knowledge Units In A Computing Environment" in Nov 2019. She has received Doctor of Philosophy (Ph.D.) in Computer Applications and PG degree both from the National Institute of Technology (NIT) Kurukshetra, India in 2020 and 2016 respectively. She has qualified GATE and UGC-NET/JRF exams in year 2017. Dr. Patel has also contributed in research project funded by Defence Research and Development Organization (DRDO), for the period of two year. Dr. Patel is an author or co-author of more than 40 publications in numerous referred journals and conference proceedings. She has been awarded best paper award (four times) in the international conferences. She has served as a reviewer in various reputed journal and conferences. Dr. Patel has received various awards for presentation of research work at various international conferences, teaching and research institutions. She has edited six books and served as a guest editors in many well reputed journals. Dr. Patel served as a keynote at ICOECA-2022 and ICSADL 2022. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert System and Knowledge Warehouse.

Dr. Prashant Pranav is an Assistant Professor in the Department of Computer Science and Engineering, Birla Institute of Technology, Mesra. He completed his PhD from Birla Institute of Technology, Mesra in the field of Cryptography. His research interests include Cryptography, Cyber Security, Biometric Security, Digital Forensics, Algorithm Analysis, Network Security, Statistical Analysis and Musical Cryptography. He has published many research articles and conference proceedings in journals of repute. He also has authored four reference books with well known publishers.

Dr. Sarika Jain graduated from Jawaharlal Nehru University (India) in 2001. Her doctorate, awarded in 2011, is in the field of knowledge representation in Artificial Intelligence. She has served in the field of education for over 19 years and is currently in service at the National Institute of Technology Kurukshetra, India. Dr. Jain has authored or co-authored over 150 publications, including books. Dr. Jain has supervised four doctoral scholars who are well-placed now. She has received grants from DRDO, DST, CSIR, and NIT Kurukshetra for research projects; from AICTE (thrice) for FDPs; from DAAD RISE worldwide (thrice) for hosting research interns from Germany; and MHRD (twice) for hosting a reputed international faculty and for FDP. She works in collaboration with various researchers across the globe, including in Germany, Austria, Australia, Malaysia, Spain, the USA, and Romania. She is a senior member of the IEEE, a member of ACM, and a Life Member of the CSI. Among the awards and honors she has received are the Best Paper Awards, Feb 2021 (two), Aug 2020, Aug 2017; and the Best Faculty Award, Sep 2019 from NIT Kurukshetra. For more and most updated information, see https://sites.google.com/view/nitkkrsarikajain/.

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