Direction finding and positioning systems based on RF signals are significantly impacted by multipath propagation, particularly in indoor environments. Existing algorithms (e.g MUSIC) perform poorly in resolving Angle of Arrival (AoA) in the presence...
Batch Normalization (BN) is extensively employed in various network architectures by performing standardization within mini-batches. A full understanding of the process has been a central target in the deep learning communities. Unlike existing w...
The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Use Disorder (OUD) can help to make early clinical interventions to redu...
Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases. Meanwhile, large amounts of narrative clinical notes provide complementary...
We give a new proof for the self-improvement of uniform p-fatness in the setting of general metric spaces. Our proof is based on rather standard methods of geometric analysis, and in particular the proof avoids the use of deep results from potential...
In this paper, a novel optical inspection system is presented that is directly suitable for Industry 4.0 and the implementation on IoT-devices controlling the manufacturing process. The proposed system is capable of distinguishing between erroneous a...
Reinforcement Fine-Tuning (RFT) in Large Reasoning Models like OpenAI o1 learns from feedback on its answers, which is especially useful in applications when fine-tuning data is scarce. Recent open-source work like DeepSeek-R1 demonstrates that reinf...
In this paper, we propose an efficient saliency map generation method, called Group score-weighted Class Activation Mapping (Group-CAM), which adopts the "split-transform-merge" strategy to generate saliency maps. Specifically, for an input image, th...
The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based method has been widely used to interpret the internal decisions of mo...
In his second mock of the 2026 NFL Draft, Daniel Jeremiah forecasts the Giants to kick off a receiver run that goes six deep in the first 32 picks. Check out the full Round 1 projection.
I'm(24F) in a loving relationship with my boyfriend(25M), where we share a deep emotional bond and compatibility. We've been together for a year, making it my longest relationship so far. In many ways...
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry (⭐ 491)
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Deep neural networks (DNNs) have shown to perform very well on large scale object recognition problems and lead to widespread use for real-world applications, including situations where DNN are implemented as "black boxes". A promising approach to se...
Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate target bo...
Oct 5, 2018 · Are nuru body slides illegal in the United states? I have a bad back and offen try deep tissue massages but they rarely work. A friend told me to try a nuru body rub as it could help. I …
An elegant and deeply customizable lyrics visualizer & versatile music player, built with WinUI3/Win2D | 一款优雅且高度自定义的歌词可视化与全能音乐播放应用，基于 WinUI3/Win2D 构建 (⭐ 1644)
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2 days ago · However, FIIs dumped Indian IT stocks by the end of February 2026 after a Citrini Research report warned of deep, AI driven disruption to the traditional outsourcing model. This panic …
Oct 5, 2018 · Are nuru body slides illegal in the United states? I have a bad back and offen try deep tissue massages but they rarely work. A friend told me to try a nuru body rub as it could help. I …