The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...

How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Ambarella (NASDAQ:AMBA) used an appearance at the 28th Annual Needham Growth Conference to outline its transition from a ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

“Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and inter-subject variability—still limits model performance.

1 Faculty Computer Science, Universidad Nacional de San Agustin, Arequipa, Peru 2 Faculty of Engineer System, Universidad Nacional de Ucayali, Pucallpa, Peru This study introduces a fully automated ...

Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) systems require effective electroencephalogram (EEG ...