Non-small cell lung cancer (NSCLC) is one of the cancers with the highest incidence and mortality rates worldwide. Accurate prognostic models can guide clinical treatment plans. With the continuous ...
A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...
A recent review article published in Case Studies in Construction Materials provided a comprehensive analysis of 296 deep learning (DL)--based studies in Construction Engineering and Management (CEM) ...
1 School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou, China 2 Department of Emergency, First Hospital of Shanxi Medical University, Taiyuan, China Background: In the past ...
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
Infectious diseases caused by pathogenic microorganisms pose a serious threat to human health. Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious ...
Abstract: Intelligent seismic facies segmentation has recently gained significant attention, particularly with the application of deep learning technologies. However, existing methods face ...
Abstract: The increase in the sophistication and volume of cyberattacks has made traditional malware detection methods, such as those based on signatures and heuristics, obsolete. These conventional ...
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