Emotion recognition is central to affective computing because it enables intelligent systems to perceive and respond to human affective states in domains such as healthcare, education, customer service, and human–computer interaction. However, unimodal methods based solely on fac...
Open access
Research Article10.9734/ajrcos/2026/v19i7878
Ankatwar Gajanan, Narote Preetham, Gajjala Lilly Rani, Alurwad Tripat Venkatreddy & K Krunal Yadav·Advances in Research·2026
Digital image processing has evolved from deterministic operators designed around explicit assumptions to data-driven systems that learn representations, priors and decision rules from large image collections. This transition has improved performance in restoration, segmentation,...
Open access
Research Article10.9734/air/2026/v27i51693
Global food security faces unprecedented pressure from crop diseases, which are responsible for annual yield losses estimated at 20–40% of all food production. The application of deep learning methodologies, particularly convolutional neural network (CNN) architectures, to the au...
Open access
Research Article10.9734/ajrcos/2026/v19i3840