3 papers
cs.CV2026
A Hybrid Architecture for Benign-Malignant Classification of Mammography ROIs
Mohammed Asad, Mohit Bajpai, Sudhir Singh +1
Accurate characterization of suspicious breast lesions in mammography is important for early diagnosis and treatment planning. While Convolutional Neural Networks (CNNs) are effect…
cs.CV2026
A Comparative Study of Modern Object Detectors for Robust Apple Detection in Orchard Imagery
Mohammed Asad, Ajai Kumar Gautam, Priyanshu Dhiman +1
Accurate apple detection in orchard images is important for yield prediction, fruit counting, robotic harvesting, and crop monitoring. However, changing illumination, leaf clutter,…
cs.CV2026
Gait Recognition with Temporal Kolmogorov-Arnold Networks
Mohammed Asad, Dinesh Kumar Vishwakarma
Gait recognition is a biometric modality that identifies individuals from their characteristic walking patterns. Unlike conventional biometric traits, gait can be acquired at a dis…