Häftad, Engelska, 2026
Advancing Healthcare through Data-driven Innovations
Av Gunjan Rehani, Aditya Gupta, Vibha Jain
1069 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2026-07-19
- Mått: 156 x 234 x 14 mm
- Vikt: 380 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 190
- Förlag: Taylor & Francis Ltd
- ISBN: 9781032757261
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Mer information
Dr. Gunjan is an Assistant Professor at the National Institute of Technology, Delhi, India. She received her Bachelor's in Technology in 2012 from Maharishi Dayanand University, Haryana, India, and her Masters in Technology from the National Institute of Technology, Jalandhar, India, in 2014. She has completed her Ph.D. in Computer Science and Engineering from the National Institute of Technology, Delhi, India. Her research interests lie in the domains of Energy techniques in Wireless Sensor Networks, Machine Learning, and Health Informatics.Dr. Aditya Gupta is an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala, Punjab, India known for his research in big data analytics, machine learning, health informatics, and blockchain. He has completed his doctoral studies at Dr B R Ambedkar National Institute of Technology, Jalandhar, India. He has published several papers in reputable international journals and completed many government-sponsored research projects. Dr. Gupta's work has significantly impacted various sectors, particularly in healthcare, where he has developed advanced health informatics systems. His expertise and dedication to research have earned him recognition as an accomplished academic and mentor.Dr. Vibha Jain is an Assistant Professor at Thapar Institute of Engineering and Technology in Patiala, Punjab, India. She completed her Ph.D. from Netaji Subhas University of Technology in New Delhi and her Master of Technology from the National Institute of Technology in Hamirpur, India, in 2018, where she was a gold medalist. She has published papers in reputed international journals and is currently working on edge/fog computing, blockchain, and machine learning for medical diagnosis.
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