Abstract: Optimization strategies in deep learning models require different techniques for different use cases ... deep learning model on the edge computing environment is proposed for image ...

Abstract: Deep learning models are often used to process radi-ological images automatically and can accurately ... neural model, ResNet152, as a neural transfer approach. The presented framework uses ...

The cloud connection can pose additional limits to where image segmentation can be used ... deep semantic segmentation network tailored for TinyML applications.” The AttendSeg deep learning ...

Using deep learning, scientists can ... model based on the ResNet architecture. This model was specifically designed to classify molecules as either SMMs or non-SMMs by analyzing their 3D molecular ...

Imagine diagnosing cancer not with a supercomputer but on an ordinary laptop instead. Sounds like science fiction? Thanks to ...

Study: Impact of a deep learning sepsis prediction model on quality of care and survival. Image Credit ... In addition, this model can tackle large, multimodal datasets containing clinical ...

The study’s findings are highly relevant to rice-producing regions worldwide, where pests like stem borers, planthoppers, and ...