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Browsing by Author "Shaikh, A.Y."

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Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone

Lanjewar, M.; Shaikh, A.Y.; Parab, J.S. (Multimedia Tools and Applications. 82(19); 2023; 29883-29912.)

COVID-19 has engulfed over 200 nations through human-to-human transmission, either directly or indirectly. Reverse Transcription-polymerase Chain Reaction (RT-PCR) has been endorsed as a standard COVID-19 diagnostic procedure ...
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud

Lanjewar, M.; Parab, J.S.; Shaikh, A.Y.; Sequeira, M. (Cluster Computing. 26(6); 2022; 3657-3672.)

Liver disease is a significant global burden on health, with about a few hundred million people suffering from chronic liver disease (CLD), with approximately 2 million deaths each year. Liver diseases are tough to identify ...
Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images

Lanjewar, M.; Parab, J.S.; Shaikh, A.Y. (Multimedia Tools and Applications. 82(8); 2023; 12699-12717.)

Alzheimer's disease (AD) is an irremediable, irrecoverable brain illness without proper treatment. Therefore, AD recognition is essential for precluding and dominating its advancement. The conventional method considers the ...
FoG and Cloud Computing with Jetson Nano (Chapter 5)

Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Python Programming Recipes for IoT Applications, Part of the Transactions on Computer Systems and Networks book series (TCSN). 2023; 123-166.)

FoG and cloud paradigms are helping the IoT devices to offload the computing in order to reduce power consumption and increase battery life. The Jetson Nano SBC is an exciting platform which can act as a FoG node and as ...
Python Programming Recipes for IoT Applications

Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Springer Nature. 2023; 192pp.)

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