WildWing: An open‐source, autonomous and affordable UAS for animal behaviour video monitoring
Abstract Drones have become invaluable tools for studying animal behaviour in the wild, enabling researchers to collect aerial video data of group‐living animals. However, manually piloting drones to track animal groups consistently is challenging due to complex factors such as terrain, vegetation, group spread and movement patterns. The variability in
Jenna Kline +6 more
wiley +1 more source
An enhanced YOLOv10 architecture for high-sensitivity and high-specificity lung cancer detection. [PDF]
Li L, Guo J, Li Y, Li C, Du J.
europepmc +1 more source
Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento +3 more
wiley +1 more source
Lightweight traffic sign detection algorithm with noise suppression and semantic enhancement. [PDF]
Wang L, Ai Q, Jin H.
europepmc +1 more source
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti +14 more
wiley +1 more source
Correction: YOLO-based intelligent recognition system for hidden dangers at construction sites. [PDF]
PLOS One Staff.
europepmc +1 more source
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
LHAT-YOLO: Study on intelligent monitoring algorithm for helmets at construction sites. [PDF]
Wang J, Zhao D, Jiang H, Lin P, Tang X.
europepmc +1 more source
YOLO-LA: Prototype-Based Vision-Language Alignment for Silicon Wafer Defect Pattern Detection. [PDF]
Wang Z +6 more
europepmc +1 more source
AWD-YOLO enhancing autonomous driving perception reliability in adverse weather. [PDF]
Yuan Y, Dong W, Yang S, Wu T.
europepmc +1 more source

