Thanks to a recent study by researchers at IOCB Prague, it is now possible to monitor processes in living cells more ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...
Abstract: Existing SOTA methods in active learning object detection(ALOD) achieve impressive results, but they overlook two problems: (1) the requirement for instance ...
Background: Accurate sorghum spike detection is critical for monitoring growth conditions, accurately predicting yield, and ensuring food security. Deep learning models have improved the accuracy of ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...
ASKAP J1832-0911, which is periodically throwing out pulses of radio waves and X-rays, could be a brand-new cosmic object. When you purchase through links on our site, we may earn an affiliate ...