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The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...

January 14, 2026 - PRESSADVANTAGE - As digital marketing continues to evolve, the influence of artificial intelligence ...

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Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...

This article evaluates bulk analysis and scratch analysis methods for particle dispersion, highlighting the superiority of ...

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Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...