However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Abstract: Detecting UAVs in clutter environments and classification with birds is a difficult and important problem. The high sidelobe levels of a typical linear frequency modulation waveform limit ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Abstract: BERT (Bidirectional Encoder Representations from Transformers) model, as a pre-training language model based on transformer architecture, can capture rich contextual information and provide ...
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