A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
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Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Study of 100+ energy OT sites reveals unpatched devices, flat networks, and hidden assets, with critical issues detected within minutes.
Click to open image viewer. CC0 Usage Conditions ApplyClick for more information. IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage ...
Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...
Abstract: This article is concerned with the human behavior identification problem for linear human-in-the-loop (HiTL) systems in adversarial environments. By modeling the human as an optimal ...
Semiconductor stocks are volatile but vital for AI and IoT technological growth. Nvidia and Qualcomm lead in AI chip innovation, crucial for future tech applications. Investing in semiconductors ...
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