While the study exposes the flaws of existing detection tools, it also lays out a path forward. The authors call for the ...
Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
Abstract: To address the core challenges of local feature sparsity and global structure information decay in offline handwritten Chinese text recognition, this study proposes a hybrid CNN-ViT ...
WASHINGTON, Oct 16 (Reuters) - John Bolton, President Donald Trump's former national security adviser who later became a critic, has been indicted by a federal grand jury in Maryland, CNN reported on ...
Jay Jones, the Democratic nominee for Virginia attorney general, expressed his regret for the graphic and violent language directed at a colleague in text messages in his opening statement in Thursday ...
Part of the Justice Department’s investigation of John Bolton centers around notes he was making to himself in an AOL email account — at times writing summaries of his activities like diary entries — ...
Abstract: In order to digitize handwritten documents and make historical archives, administrative records, and private notes, Handwritten text recognition (HTR) is necessary. Maintaining knowledge and ...
Abstract: This paper addresses the challenge of road type classification using deep learning techniques applied to vibrational signals collected from inertial sensors. Two novel architectures, SepRNet ...
Abstract: Tactics and techniques information in Cyber Threat Intelligence (CTI) represent the objectives of attackers and the means through which these objectives are achieved. The classification of ...
[Jake Tapper of CNN interviewed Donald Trump via text messages on October 4, 2025. During a 107-second segment on CNN, Tapper reviewed the chain of text messages with screen shots. He stated there ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...