A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Intelligent image cropping tool with multiple detection methods including You Only Look Once (YOLO), DEtection TRansformer (DETR), Real-Time DEtection TRansformer (RT-DETR), Roboflow DETR (RF-DETR), ...

1 The First Clinical Medical College, The Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China 2 The Affiliated People’s Hospital of Fujian ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The detection of nanoplastics (NPs) in complex natural water systems is hindered by ...

Social media algorithms are reshaping the landscape of journalism, presenting both challenges and opportunities for the future of news. This article explores the multifaceted impact of these ...

Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most ...

As the executive director of a payment service provider, I've seen payment processing come a long way—but significant pain points remain. Traditional systems often struggle with slow transaction ...