AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company ...
Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
Abstract: Innovations in deep learning architectures are driving a paradigm shift in computer vision. While traditional convolutional neural networks (CNNs) have long dominated image tasks due to ...
Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...
Abstract: Lung-related illnesses continue to be a significant global health challenge. Identifying the illness early helps patients recover faster and improves the success of their treatment. Advances ...
Abstract: This paper explores the performance of two deep learning object detection architectures—Faster R-CNN with Inception V2 and MobileNet SSD V2—for detection and classification of the degree of ...
Add Yahoo as a preferred source to see more of our stories on Google. According to Kaczynski, the latest tranche of files released last week by the Department of Justice included “a series of graphic, ...