A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Astronomers have used artificial intelligence (AI) to find hundreds of "anomalies" in data from the Hubble Telescope. More ...
A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The removal of advanced data from a popular internet resource has proven unpopular – The Athletic breaks down what happened ...
Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
1 School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Australia. 2 Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), ...
Abstract: Gas detection is essential in industrial and domestic environments to ensure safety and prevent hazardous incidents. Traditional single-sensor time-series analysis often suffers from ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
ABSTRACT: In the manufacturing world lies a series of hazards mostly from the constant moving of machine components. The safety of manufacturing workers is crucial in the center of the sector, and the ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...