RICE LEAF DISEASE DIAGNOSIS THROUGH DEEP LEARNING: AN INCEPTIONV3 APPROACH WITH SPATIAL ATTENTION FOR SUSTAINABLE AGRICULTURE AND FOOD SECURITY
This research introduces a sophisticated deep learning framework for automatically identifying diseases in rice leaves by combining the Inception V3 architecture with spatial attention mechanisms. Rice is one of the most important foods in the world, in terms of food security and agricultural economics, so the establishment of efficient disease sur...
By R. Dhanya, S. Mythili
DEEP INCEPTION V7 INTEGRATED CONVOLUTIONAL NEURAL NETWORK FOR DEEPFAKE PREDICTION IN ONLINE CONTENT USING ADVANCED TECHNOLOGY
The technologies of deepfakes are actively used on social media, creating fake video and audio by manipulating existing media content. The face-swapping technologies that are applied in the creation of deepfakes cause severe problems in society, such as identity theft and the spread of unsuitable content. Although various machine learning and deep ...
By S. Narmatha, S. Mythili