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CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile

Lanjewar, M.; Parab, J.S. (Springer, 2024)
Portable system to detect starch adulteration in turmeric using NIR spectroscopy

Lanjewar, M.; Morajkar, P.P.; Parab, J.S. (Elsevier, 2024)
Machine learning based technique to predict the water adulterant in milk using portable near infrared spectroscopy

Lanjewar, M.; Parab, J.S.; Kamat, R.K. (Elsevier, 2024)
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)
Hybrid method for accurate starch estimation in adulterated turmeric using Vis-NIR spectroscopy

Lanjewar, M.; Morajkar, P.P.; Parab, J.S. (Taylor & Francis, 2023)
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)

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