Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...
An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...
Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...
Abstract: In high-risk IoT-enabled Industrial Environments such as oil and gas industries, early and accurate fire detection is crucial to prevent catastrophic damage. Traditional fire detection ...
2 School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and ...
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