Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Over the last several decades urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...

Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.