Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety.

Method: This paper presents a Deep Learning (DL)-based You Look Only Once (YOLOv7) model in combination with the Grab Cut algorithm to extract the foreground of the tumor image to enhance the ...

When did you first try to combine physics with deep learning? Rose Yu: It started with traffic. I was a grad student at USC, and the campus is right near the intersection of I-10 and I-110.

In a final ensemble model, AUROC rose to 0.831 and specificity increased to 0.703 (P = .0008 for both) while sensitivity remained the same as the base model.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Neural Radiance Fields (NeRFs): This genAI model uses a deep learning technique to represent 3D scenes based on 2D image inputs. Generative AI models are highly scalable and accessible AI ...

2.2.2 Deep forest Deep Forest (DF) (Zhou and Feng, 2019) is an integrated learning algorithm based on deep learning. The method stacks multiple random forest models together to form a deep network ...

To do this, the algorithm uses individual variants and their annotations to calculate a numerical value that describes the extent to which a gene is impaired and its potential impact on health.

Researcher Fei-Fei Li’s ImageNet project provided the feedstock for the deep learning boom that brought the world ChatGPT and other world-changing AI systems. Early in the pandemic, an agent ...