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B01=Babita Pandey
B01=Devendra Kumar Pandey
B01=Mufti Mahmud
B01=Suman Lata Tripathi
B01=Valentina Emilia Balas
Category1=Non-Fiction
Category=UB
Category=UMB
Category=UYQ
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Computational Intelligence for Genomics Data

English

Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. See more
Current price €151.04
Original price €158.99
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Age Group_Uncategorizedautomatic-updateB01=Babita PandeyB01=Devendra Kumar PandeyB01=Mufti MahmudB01=Suman Lata TripathiB01=Valentina Emilia BalasCategory1=Non-FictionCategory=UBCategory=UMBCategory=UYQCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Feb 2025

Product Details
  • Dimensions: 216 x 276mm
  • Publication Date: 01 Feb 2025
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443300806

About

Babita Pandey completed her PhD in the field of artificial intelligence in biomedical signal processing from IIT-BHU Varanasi. Currently she is an Associate Professor of Computer Science at Babasaheb Bhimrao Ambedkar University Lucknow. She has published more than 150 research papers in refereed journals and conferences. She has delivered many expert lectures for students as well as in faculty development programs. She has worked as a session chair conference steering committee member editorial board member and peer reviewer in various international/national conferences. She received the Research Excellence Award” in 2014 2015 2016 from Lovely Professional University and the Research and Academic Excellence Award” in 2021 2022 at Babasaheb Bhimrao Ambedkar University Lucknow India. She also received the P.D. Sethi Award 2022. She edited one book on link prediction in social networks. Her areas of research include link prediction dimensionality reduction of genomic data e-learning machine learning and deep learning deployed for images. Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering Aurel Vlaicu” University of Arad Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering' an editorial board member for several other national and international publications and an expert evaluator for national and international projects and PhD theses. Suman Lata Tripathi completed her PhD in the area of microelectronics and VLSI from MNNIT Allahabad. She was also a remote post-doc researcher at Nottingham Trent University London UK in 2022. She is a Professor at Lovely Professional University with more than 19 years of experience in academics. She has published more than 89 research papers in refereed journals and conferences. She has also published 13 Indian patents and 2 copyrights. She has organized several workshops summer internships and expert lectures for students. She has worked as a session chair conference steering committee member editorial board member and peer reviewer in international/national conferences. She received the Research Excellence Award” in 2019 and Research Appreciation Award” in 2020 2021 at Lovely Professional University India. She also received funded projects from SERB DST under the scheme TARE in the area of Microelectronics devices. She has edited or authored more than 15 books in different areas of Electronics and electrical engineering. Her areas of expertise includes microelectronics device modeling and characterization low power VLSI circuit design VLSI design of testing and advanced FET design for IoT Embedded System Design reconfigurable architecture with FPGAs and biomedical applications. Devendra Kumar Pandey completed his PhD in Bioprocess Engineering from IIT (BHU) Varanasi. He has been a Professor at Lovely Professional University for more than 22 years. He has published more than 112 research papers in refereed journals and conferences. He received the Research Excellence Award” in 2019 and Research Appreciation Award” in 2020 2021 at Lovely Professional University India. He has also received funded projects from UPCST under the area of Medicinal Plants. His areas of expertise include Bioprocess Engineering Medicinal Plant Biotechnology Plant-Microbe interaction Computational Biology. Mufti Mahmud is an Associate Professor of Cognitive Computing at the Department of Computer Science of Nottingham Trent University (NTU). Dr. Mahmud was appointed to the USET University Shadow Executive Team in 2022 providing specialist input to the University Executive Team and Vice-Chancellor on strategic policy and direction matters related to Equality Diversity & Inclusion (EDI). He is the Coordinator of the Computer Science and Informatics Unit of Assessment of Research Excellence Framework at NTU and the deputy group leader of the Interactive Systems Research Group (ISRG) and the Cognitive Computing & Brain Informatics (CCBI) research group. He is also an active member of the Computing and Informatics Research Centre (CIRC) and the Medical Technologies Innovation Facility (MTIF). He is a member of the NTU Distance Learning Governance Operation and Steering committee as well as the International Mobility Committee and serves as an independent end-point assessor for the Level 6 BSc (Hons) in Digital & Technology Solutions Professional Degree Apprenticeship and an expert of the online master's degree in computer science. He led the teaching of the Big Data and its Infrastructures (Postgraduate on-campus and online delivery) module. He is a Fellow of the Higher Education Academy a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association of Computing Machinery (ACM) and a professional member of the British Computer Society (BCS).

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