Anjali Diwan – författare
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5 produkter
Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
Av Sejal Shah, Rohit M. Thanki m. fl.
Inbunden, 2024
1574 kr
Lägg i varukorg
This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a …
Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
Av Anjali Diwan, Rohit M. Thanki m. fl.
E-bok, 2024
1846 kr
Lägg i varukorg
This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a …
Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
Av Sejal Shah, Rohit M. Thanki m. fl.
Häftad, 2025
1462 kr
Lägg i varukorg
This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a …
Machine Learning for Wireless Communication
Av Rohit M. Thanki, Komal R. Borisagar m. fl.
Inbunden, 2025
550 kr
Lägg i varukorg
This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples and case studies to illustrate the use of …
Machine Learning for Wireless Communication
Av Anjali Diwan, Komal R. Borisagar m. fl.
E-bok, 2025
718 kr
Lägg i varukorg
This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples and case studies to illustrate the use of …