This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...

The artificial intelligence landscape has evolved at a breakneck pace, and by 2026, the demand for unrestricted, uncensored creative platforms has reached an all-time high. Creators, digital artists, ...

Lin, C.-N. and Yang. T.-H. (2026) Assessing Hualien’s Agrotourism Destination Image and Revisit Intention: A Secondary Analysis Using Importance-Performance Analysis. Open Access Library Journal, 13, ...

Before it became an Off Broadway show and now an HBO special, Color Theories began as scribbles in his notebooks.

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

Lawyers believe new AI tools at the USPTO will not replace trademark lawyers or disrupt revenue, but instead expose where a ...

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

A new study published in Big Earth Data systematically evaluates the data quality of Volunteered Geographic Information (VGI) ...