a deep-learning-based method to detect these types of footprints of DNA-protein interactions. Using data from 170 human liver samples, the researchers observed 809 "footprint quantitative trait ...

Preferred Networks is a little-known name outside of Japan, but the Toyota-backed artificial intelligence unicorn has big plans to use deep learning to fix "real-world" issues — with the end go ...

In essence, this paper demonstrates a practical method for automatically classifying human activities using an optimal feature fusion and deep learning approach, promising a great result that could ...

By using all these points ... then uses a deep-learning architecture to classify the given classes based on these features. This makes our system more robust and generalizable. 2.2 Human action ...

This project focuses on human action recognition using advanced deep learning techniques ... sequences by processing frames with spatial filters and then learning temporal dependencies. Architecture: ...

This library has been trained with 30,000 samples and then the model is converted to work with OpenCV without any need of deep learning architecture. The main motive is to use machine learning ...

However, they need human assistance to learn high-level action cues, leading to outdated performance. The second strategy is Deep learning ... for better recognition performance. Additionally, they ...