Swarms of robots have been growing in importance due to their flexibility in completing various tasks that are difficult for ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

Swarming is one of the principal forms of bacterial motility facilitated by flagella and surfactants. It plays a distinctive ...

Abstract: Visible and infrared image fusion (VIF ... such as object detection, object tracking, scene segmentation, and crowd counting. In addition to conventional VIF methods, an increasing number of ...

Multi-Source Information Fusion, Greenhouse, Navigation, Algorithm Verification, Sensor Fusion Share and Cite: Guo, Z. (2025) ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Abstract: Remote sensing image change detection (RS-CD) has emerged as a prominent research focus in geospatial analysis. While current deep learning approaches predominantly employ Siamese encoders ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Materials and methods FIH injury reports were used for data ... Most of the injuries occur within the circle. Our data provide a basis for prospective data sampling. The injury sampling system of ...