Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

This research investigates cutting-edge navigation solutions, emphasizing deep learning-based visual localization approaches tailored for UAVs. Our focus is on scenarios characterized by GPS-denied ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoin ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Masked Autoencoder (MAE) has demonstrated superior performance on various vision tasks via randomly masking image patches and reconstruction. However, effective data augmentation strategies for MAE ...