In this work, we propose a model-driven deep learning method by unrolling the recently developed ReLU-based Hard Thresholding (RHT) algorithm for non-negative sparse signal recovery. Specifically, we ...

Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential ...

In automotive radar, time-domain thresholding (TD-TH) and time-frequency domain thresholding (TFD-TH) are crucial techniques underpinning numerous interference mitigation methods. Despite their ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Moroccan scientists have developed a new method to automatically locate and label solar panels in large photovoltaic ...

The HITOP optical processor achieves O(N²) operations per cycle, enhancing AI model training with high scalability and energy-efficient photonic technology.

A research team at Shanghai Jiao Tong University has developed a systematic framework that combines semantic-segmentation AI ...

Scientists in Morocco have developed a method that uses the metadata of PV plants’ infrared images to label them geographically. The automatic database can then be used in deep learning models and ...

By combining image-based phenotyping with gene expression analysis, the research reveals significant variability in root morphology and ...