Manual counting and classification of bacterial colonies are critical yet labor-intensive tasks in microbiology, prone to human error particularly on densely populated plates. This work proposes a multi-task deep learning framework trained on the Annotated Germs for Automated Recognition (AGAR) dataset (18,000 images;...
Belaguppa Manjunath Ashwin Desai, R. Rajesh, S. Murthy et al.· 0 citations
By combining intelligent image analysis with automated learning and enhancement mechanisms, the Image Processing Using Machine Learning system aims to provide a reliable, efficient, and scalable solution suitable for healthcare diagnostics, surveillance systems, multimedia applications, autonomous vehicles, satellite i...
R. Rajesh, R. Aswini· International Journal for Re...· 0 citations
The Handwritten Digit Recognition System is a machine learning and deep learning–based project developed to accurately identify handwritten numerical digits from input images by using image processing techniques and a Convolutional Neural Network model trained on the MNIST dataset.
R. Rajesh, P. Sravani· International Journal for Re...· 0 citations
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