Results 141 to 150 of about 260,079 (257)
Applied AI Letters, Volume 7, Issue 1, February 2026.Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga +4 more
wiley +1 more source
Two Cases of Allergic Contact Dermatitis Caused by Coco Betaine in Clobetasol Propionate Shampoo. [PDF]
Case Rep Dermatol MedIijima S +4 more
europepmc +1 more source
Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy
International Forum of Allergy &Rhinology, Volume 16, Issue 2, Page 152-161, February 2026.ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali +12 more
wiley +1 more source
Melancia - coco verde ou Melancia, coco mole?
, 2018 The present article analyses the work of Simões Lopes Neto, Contos Gauchescos, as a product of the tension between the project of regional folklore (subtitle of the books first edition) and the literally creation of Blau Nunes. From the comparison between Melancia-coco verde and Melancia coco mole, a popular tale collected by Silvio Romero, we analyze ...
openaire +1 more source
Macromolecular Materials and Engineering, Volume 311, Issue 2, February 2026.Starting from lignin‐derived compounds (LDCs), a library of radically polymerizable monomers are synthesized. Biobased polymers are then prepared by free radical polymerization using industrially relevant processes: in solution (ethyl lactate) and in emulsion (water). Polymers with high thermal resistance and tunable Tgs are obtained, along with stable
Joanna Michalska‐Walkowiak +5 more
wiley +1 more source
Deep-sea image dataset for organism detection. [PDF]
Data BriefNishio T, Kawae Y.
europepmc +1 more source
WildWing: An open‐source, autonomous and affordable UAS for animal behaviour video monitoring
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 291-300, February 2026.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
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer. [PDF]
Sensors (Basel)Shehzadi T +4 more
europepmc +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 339-356, February 2026.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
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 272-290, February 2026.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