Anshu Kumar Dwivedi – författare
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5 produkter
Healthcare Systems and Health Informatics
Using Internet of Things
Av Pawan Singh Mehra, Lalit Mohan Goyal m. fl.
Inbunden, 2022
2198 kr
Lägg i varukorg
This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in artificial intelligence (AI) and smart computing in resource-constrained IoT-based applications along with cost, …
Healthcare Systems and Health Informatics
Using Internet of Things
Av Pawan Singh Mehra, Lalit Mohan Goyal m. fl.
Häftad, 2024
772 kr
Lägg i varukorg
This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in artificial intelligence (AI) and smart computing in resource-constrained IoT-based applications along with cost, …
Healthcare Systems and Health Informatics
Using Internet of Things
Av Anshu Kumar Dwivedi, Arvind Dagur m. fl.
E-bok, 2022
881 kr
Lägg i varukorg
This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in artificial intelligence (AI) and smart computing in resource-constrained IoT-based applications along with cost, …
Healthcare Systems and Health Informatics
Using Internet of Things
Av Anshu Kumar Dwivedi, Arvind Dagur m. fl.
E-bok, 2022
910 kr
Lägg i varukorg
This book covers the fundamentals of IoT and healthcare systems for carrying out system architectures, protocols, wearable devices, and interoperability. It explores major challenges in artificial intelligence (AI) and smart computing in resource-constrained IoT-based applications along with cost, …
Computational Analysis for Digital Medical Imagery
Av Bipin Kumar Rai, Anshu Kumar Dwivedi m. fl.
Inbunden, 2026
1546 kr
Kommande
Advanced computational techniques and intelligent algorithms are now being used for processing, analyzing, and interpreting medical images across diverse healthcare applications. It integrates image processing, machine learning, deep learning, and computer vision to enhance diagnostic accuracy, …