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Produktbild: Smart Microscopy, Ai, and Robotics
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Smart Microscopy, Ai, and Robotics Automated Future Disease Detection

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.05.2027

Herausgeber

Priyadarshini Pattanaik + weitere

Verlag

Elsevier

Seitenzahl

320

Maße (L/B)

23,5/19,1 cm

Gewicht

449 g

Sprache

Englisch

ISBN

978-0-443-54287-9

Beschreibung

Portrait

Priyadarshini Pattanaik is a Senior Lecturer at the Berlin School of Business and Innovation, Germany. Her research focuses on quantitative analysis and the development of machine learning algorithms using deep neural networks and graphical models for visual computing, with applications in medical image analysis and disease detection.

She previously served as a Postdoctoral Scientist at IMT Atlantique, France, within the Image and Information Processing department of the LaTIM research group (2020–2022). Her work addressed key challenges in the musculoskeletal (MSK) field, particularly exploring the relationship between joint shape and function through advanced computational methods. Earlier, she worked as a Postdoctoral Fellow collaborating with several academic and industry partners, including Télécom SudParis, Université Paris-Saclay, the Centre for Mathematical Morphology at Mines ParisTech, and the company TRIBVN (2019). She has authored numerous publications in high-impact SCI and Scopus-indexed journals and international conferences.

Dr. Chiranji Lal Chowdhary is Professor in the School of Computer Science Engineering and Information Systems at Vellore Institute of Technology, India. He has more than 20 years of academic and research experience in artificial intelligence, machine learning, deep learning, computer vision and intelligent systems. His research spans industrial AI, Industry 4.0 technologies, smart healthcare and data-driven decision-making systems. He has published extensively in international journals and conferences and has edited several scholarly volumes. He has supervised doctoral and postgraduate researchers and contributes actively to research evaluation, curriculum development and academic leadership. His expertise in intelligent systems and digital transformation aligns closely with the themes of AI-enabled industrial ecosystems and lifecycle intelligence explored in this book.

Dr. Gaurav Agarwal is Professor and Program Co-Chair (B.Tech CSE) at Galgotias University, Greater Noida, India. He holds a Ph.D. in Computer Science and Engineering from IIT (ISM) Dhanbad and brings over 21 years of academic and leadership experience, including roles as Associate Head, Academic Head, and Central NBA Coordinator (2018–2022). His research spans speech signal processing, genetic algorithms, and web search engines. He has published over 40 papers in reputed journals and conferences and holds eight Indian patents (six granted). His honors include the IRNet Young Investigator Award and recognitions from Rotary International.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.05.2027

Herausgeber

Verlag

Elsevier

Seitenzahl

320

Maße (L/B)

23,5/19,1 cm

Gewicht

449 g

Sprache

Englisch

ISBN

978-0-443-54287-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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