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

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 ...

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

Distinguished Flying Cross recipient RF-4C pilot and his weapon systems officer recollect flying some of the most important ...

This recognition is more than symbolic. Being chosen by Real Madrid Next marks StepOut as a leading force in the next ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...