Mahin Montasir Afif, Abdullah Al Noman, Kazi Abdullah Jarif, Md Emamul Arefin Islam, Sathya Narayana Sharma K, Mahfujur Rahman, Dipta Gomes, Kazi Tanvir, Md. Obaidur Rahaman, Syed Mohammed Shamsul Islam
Seema Pahwa, Amandeep Kaur, Sapna Juneja, Deepali Gupta, Swati Kumari, Amel Ksibi
Abstract Conjunctivitis is one of the most common eye disorders, and timely diagnoses are crucial to ensure no complications arise from such disorders. Manually examining the images to diagnose the disease often takes too much time and may result in inconsistent diagnosis. To ove…
Shankramma S. Dhavalagimath, T. M. Rajesh, K. Madhura, P. Naresh, Praveen Kulkarni
Abstract Aerial image deblurring is a vital challenge in drone vision systems, where Gaussian, motion, and out-of-focus blurs significantly lowering the image quality and the quality of subsequent analysis. Standard deblurring algorithms usually implement one method uniformly in…
S. Nandhini Devi, N. Sabiyath Fatima
Handwritten digit and character recognition is among the basic problems in computer vision, given the large variability of human writing patterns, pen thickness, and complexity of images. Though deep learning algorithms demonstrate tremendous performance on standard test problems…
Siddhant Jagdev, Bharathwaaj Sundararaman, Narendra Khatri, Pramod Gaur, Hiren Mewada
Abstract Agriculture is crucial for food security but is severely threatened by crop disease and climate variability and causes severe yield loss. As the population grows worldwide, quick and accurate disease detection is critical. Deep learning, in particular through transfer le…