Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud. - Madhusudan G. Lanjewar; Pranay P. Morajkar; Jivan Parab (Multim. Tools Appl., 2022)

Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone. - Madhusudan G. Lanjewar; Arman Yusuf Shaikh; Jivan Parab (Multim. Tools Appl., 2023)

Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images. - Madhusudan G. Lanjewar; Jivan Parab; Arman Yusuf Shaikh (Multim. Tools Appl., 2023)

CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud. - Madhusudan G. Lanjewar; Jivan Parab; Arman Yusuf Shaikh; Marlon Sequeira (Clust. Comput., 2023)

Optimizing Dehusked Arecanut Quality Segregation: CNN-Based Approach with Contrast Enhancement and Data Augmentation. - Sameer M. Patil; Aparajita Naik; Marlon Sequeira; Sulaxana Vernekar; Jivan Parab (SCCTT, 2024)

Enhancement of Accuracy in Soil Urea Estimation Using Machine Learning Tools. - Sulaxana Vernekar; Marlon Sequeira; Sameer M. Patil; Jivan Parab; Gourish M. Naik (SCCTT, 2024)

CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile. - Madhusudan G. Lanjewar; Jivan Parab (Multim. Tools Appl., 2024)

Hybrid methods for detection of starch in adulterated turmeric from colour images. - Madhusudan G. Lanjewar; Satyam S. Asolkar; Jivan Parab (Multim. Tools Appl., 2024)