Machine Learning Models and Architectures for Biomedical Signal Processing | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Mufti Mahmud
B01=Soumya Banerjee
B01=Suman Lata Tripathi
B01=Valentina Emilia Balas
Category1=Non-Fiction
Category=MQW
Category=PS
Category=UYM
Category=UYQM
Category=UYS
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Machine Learning Models and Architectures for Biomedical Signal Processing

English

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques. See more
Current price €128.24
Original price €134.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Mufti MahmudB01=Soumya BanerjeeB01=Suman Lata TripathiB01=Valentina Emilia BalasCategory1=Non-FictionCategory=MQWCategory=PSCategory=UYMCategory=UYQMCategory=UYSCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Nov 2024

Product Details
  • Weight: 450g
  • Dimensions: 191 x 235mm
  • Publication Date: 01 Nov 2024
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443221583

About

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. Valentina E. Balas is a 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 Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. Her research interests are in intelligent systems fuzzy control soft computing smart sensors information fusion modeling and simulation. She is a member of the editorial boards of several national and international journals and evaluator expert for national international projects and PhD thesis. Dr. Balas is the Director of Intelligent Systems Research Centre and Director of the Department of International Relations Programs and Projects in Aurel Vlaicu University of Arad. She is the recipient of the Tudor Tanasescu Prize from the Romanian Academy for contributions in the field of soft computing methods (2019). 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). Soumya (SM-IEEE) was an invited Research professor and at present as Senior Associated Researcher at Conservatoire National des Arts et Métiers (CNAM) Laboratoire CEDRIC and INRIAEVA (the French National Institute for computer science) Paris since November 2018. He is also the Chief Technology Officer of MUST-B2B Paris along with associated senior researcher activities and. Projects at INRIA Paris where he is developing of Deep hybrid learning based recommendation and unsupervised machine learning for business Eco-system and communication systems. In addition to he is the director research & innovation of Trasna-Solutions Arklow Ireland at their center of excellence with UCC Cork and Govt. of Ireland. He is having several projects and product implementation on private Blockchain e-SIM and smart manufacturing & logistics. Prior to that he was senior Associate Professor Computer Sc.& Engg. Birla Institute of Technology Mesra India vising research professor at CNRS INSA de Lyon Lyon France (2016) Invited Research professor at TU-Ostrava Cz Republic respectively (2015). He also spends several years with MSR Seattle USA in Cognizant Technology Solution ICICI InfoTech both in India southeast Asia and Europe almost a decade. Dr. Banerjee completed his Bachelors in Engg. (at present VNIT Nagpur) in Computer Sc. (Hons.) did his masters from IISC Bangalore (MS- Research) and Ph.D in Computer Science and Engg. from Birla Institute of Technology Mesra India on Stigmergic optimization with Hybrid Intelligence in 2008-2009. He has more than 130 international journal publications including 32 book chapters and 55 International top level conference proceedings published from Elsevier Science IEEE Transactions ACM Springer Verlag Germany CRC Press and Idea Publication USA to his credit covering machine learning security measures prediction and data analytics bio inspired intelligence soft computing and optimization hybrid intelligence social networking applications and social media Wiki analysis machine learning with complex system and evolutionary computing. He also guided more than 10 Ph.D scholars in India and abroad. Dr. Banerjee had also developed a new artificial agent known as emotional ant colony for crowd modelling with European patent. Now he is having a patent in process with French govt. of business recommendation and ML. He is also an active project participant and consultant in IRIDIA (The National Lab of Computational Intelligence) Belgium and Simula lab. Norway. He was leading a project as academic consultant with Yahoo Research Spain and also envisaged new project on graph mining on FaceBook Friends analysis network from FaceBook UK and Luxemburg. He is involved also in several technical consultancy at France with Netflix Germany (University of Stuttgart) and Ireland.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept