Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
Abstract: With the acceleration of intelligent transformation of railroad signaling system, the traditional way of relying on manual interpretation of signaling engineering drawings in the railroad ...
Dispute-tracking software startup Glimpse said today it has closed on a $35 million round of funding to accelerate its plan to use artificial intelligence to help brands gain more leverage over ...
Abstract: In recent years, speech features have gained increasing application in mental health and psychiatric research due to their rich acoustic and linguistic information. This review ...
Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...
Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
Abstract: This study presents a comparative evaluation of deep feature extraction and machine learning classifiers for facial recognition-based student attendance systems. Two pretrained convolutional ...
“Some films come along just when we need them to, and ‘Signal One’ is the perfect example,” said Fields, senior vice president of acquisitions at Radial Entertainment. “Jonathan tells an urgent and ...
Abstract: The core challenge in vulnerability detection lies in learning the highly complex vulnerability features present in real-world program source code to achieve comprehensive and accurate ...
Several of the Earth’s systems are changing faster than predicted as global temperatures rise, scientists say. By David Gelles Scientists who study global warming are currently wrestling with a ...
Abstract: Heart disease is the leading global cause of death, requiring accurate and interpretable prediction models. This thesis proposes a Transformer-CNN hybrid that integrates CNN local feature ...
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