The final, formatted version of the article will be published soon. As an invasive species in China, Pomacea canaliculata severely impacts crop quality and yield, necessitating effective monitoring ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Abstract: The increasing intensity of train usage in big cities has resulted in some damage to the railroad tracks, one of the defects that appear is on the surface of the railroad, and this ...

Actor Ryan Reynolds told attendees at the Toronto International Film Festival (TIFF) on Friday that he is not "MAGA" or "extreme anything," recalling a moment when he suggested swapping phones with a ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

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 ...

This repository provides an edge-based method for detecting interfaces of an aqueous sample in a vial. It was initially developed for the autoHSP workflow to automate the result analysis through image ...

Abstract: This paper proposes an object detection algorithm based on YOLO-PDE and optimizes it for the oracle bone object detection scenario. This algorithm constructs a unique YOLOPDE network ...