Spotting financial statement fraud is crucial. Learn key signs and detection methods to protect your investments from risky ...
A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Counterfeit or low-quality products—such as olive oil made from dyed rapeseed oil—are often difficult or impossible to ...
Abstract: Detecting spectrum anomaly effectively is vital for spectrum management. Existing deep learning (DL)-based spectrum anomaly detection (SAD) methods struggle to detect spectrum anomaly by ...
Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...
Abstract: A new object-based change detection method has been proposed to address the limitations of existing research based on pixel-based change detection, as well as the neglect of concurrent ...
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