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Abstract: In this paper, we propose an innovative deep learning architecture that integrates the deep context understanding capabilities of BERT with the spatial and temporal feature capture ...
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...
Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving ...
Abstract: Technological advancements occur rapidly from year to year. Currently, we experience the benefits of this rapid technological development, including the widespread use of smartphones in our ...