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Python Programming Recipes for IoT Applications

Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Springer, 2023)
FoG and Cloud Computing with Jetson Nano (Chapter 5)

Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Springer, 2023)
MicroPython PyBoard for IoT (Chapter 4)

Parab, J.S. (Springer, 2023)
Simple Applications with Raspberry Pi (Chapter 3)

Parab, J.S. (Springer, 2023)
Improving hemoglobin estimation accuracy through standardizing of light-emitting diode power

Pinto, C.F.; Parab, J.S.; Sequeira, M.; Naik, G.M. (Institute of Advanced Engineering and Science (IAES), 2022)
Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud

Lanjewar, M.; Parab, J.S.; Morajkar, P.P. (Springer, 2022)
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. (Springer, 2022)
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. (Springer, 2022)
Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images

Lanjewar, M.; Parab, J.S.; Shaikh, A.Y. (Springer, 2022)
Development of Altera NIOS II soft-core system to predict total Hemoglobin using multivariate analysis

Pinto, C.F.; Parab, J.S.; Sequeira, M.; Naik, G.M. (IOP Publishing, 2021)

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