Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

MicroAlgo QAS, by optimizing quantum circuit architectures, can significantly enhance the robustness of VQA in various noisy environments. By automatically searching for suitable circuit designs, QAS ...

Abstract: Malicious attacks on Connected and Automated Vehicle (CAV) systems can severely impact transportation safety and efficiency. They can manipulate sensor readings, disrupt service, or falsify ...

Researchers at the University of Pennsylvania developed ApexGO, an AI-powered system that optimizes antimicrobial peptides.

Parallel sorting algorithm optimization represents a critical area of research aimed at accelerating the arrangement of large data sets by exploiting modern multi-core and many-core architectures. By ...

Abstract: Convolutional Neural Networks have demonstrated capability in identifying patterns in medical images, although the need for explainable models remains critical in high-risk medical ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

This research involving human participants complies with all relevant ethical regulations, including obtaining informed consent from all participants through the recruitment sites. Ethical review and ...