Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment ...
Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
Abstract: Imagined speech-based brain-computer interface (BCI) facilitates brain signal-driven intuitive communication which holds great promise as an effective speech rehabilitation tool, enabling ...
CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.
Democrats notched another victory Saturday in special elections during President Donald Trump’s second term, flipping a seat in the Texas Senate that Trump won by 17 points in 2024. Taylor Rehmet, a ...
Add Yahoo as a preferred source to see more of our stories on Google. Taylor Rehmet is seen in Fort Worth, Texas, on January 14. - Desiree Rios/The New York Times/Redux Democrats notched another ...
Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Abstract: The COVID-19 pandemic has created an urgent need for fast and accurate ways to detect the virus. Although RT-PCR is the main test method, chest CT scans are also helpful in diagnosing ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
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