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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)
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)
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 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)
Back-Propagation Neural Network (BP-NN) model for the detection of borer pest attack

Prabhu, Y.; Parab, J.S.; Naik, G.M. (IOP Publishing, 2021)
Backpropagation neural network-based machine learning model for prediction of blood urea and glucose in CKD patients

Parab, J.S.; Sequeira, M.; Lanjewar, M.; Pinto, C.; Naik, G.M. (IEEE, 2021)
Estimation of cholesterol in the presence of urea and other constituents in blood tissue

Nazareth, I.A.P.; Parab, J.S.; Gad, R.S.; Naik, G.M. (Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP), 2020)
Learning by doing with National Instruments Development Boards

Parab, J.S.; Nazareth, I.A.P.; Gad, R.S.; Naik, G.M. (CRC Press, 2020)
Exploring the future of Li-Fi

Fernandes, V.; Parab, J.S.; Naik, G.M. (International Research Publication House, 2020)

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