Abstract: Accurate boundary segmentation of anatomically complex structures such as organs and tumors remains a major challenge in medical image analysis. Traditional segmentation methods often ...
Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
Abstract: Point cloud registration, a critical component of various applications, aims to establish correspondences between two point clouds. While detector-free methods exhibit outstanding accuracy, ...
The fate of Warner Bros. Discovery is no longer a regulatory matter. It is a medieval tournament, in which the king invites rival bidders to compete for his approval. To acquire the media company, the ...
Abstract: The detection of traffic objects in aerial scenes holds significant application potential in both military and civilian sectors. However, current aerial traffic object detection techniques ...
Today on CNN10: We'll get the latest on Ford Motor Company's decisions to pivot from their ambitious EV plans - and what it may mean for the electric vehicle industry. Then, learn about the machine ...
Abstract: Herbal plants have numerous medicinal benefits and are used to treat various diseases. However, the morphological similarity of certain herbal leaves poses challenges in their identification ...
Abstract: Emotion-aware sentiment analysis has gained significant attention in recent years due to its applications in social media monitoring, mental health assessment, and customer feedback analysis ...
Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
Sometimes, the best tech features are the ones you don’t even actively think about — they’re just there when you need ’em, quietly working on your behalf, without any fanfare or intensive effort ...
Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
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