Abstract: While deep learning (DL) methods based on empirical risk minimization (ERM) have achieved superior detection performance on public infrared small target detection (IRSTD) datasets, the ...
Abstract: Deep learning methods have been widely applied in indoor localization to mitigate the impact of non-line-of-sight (NLOS) and multipath effects, achieving high-precision results. However, ...
2025 brought soaring triumphs, unforeseen losses and no shortage of drama to the sports scene in West Virginia. Changes in the past calendar year away from the fields and floors impacted what happened ...
For years, accessibility was treated as a compliance exercise, something required rather than desired. Yet in today’s consumer landscape, where aging, chronic illness, and situational disability touch ...
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