|
|
|
Ying Chen, Xi Qiao, Feng Qin, Hongtao Huang, Bo Liu, Zaiyuan Li, Conghui Liu, Quan Wang, Fanghao Wan, Wanqiang Qian and Yiqi Huang
Invasive plant species pose significant biodiversity and ecosystem threats. Real-time identification of invasive plants is a crucial prerequisite for early and timely prevention. While deep learning has shown promising results in plant recognition, the u...
ver más
|
|
|
|
|
|
|
Rujia Li, Yadong Li, Weibo Qin, Arzlan Abbas, Shuang Li, Rongbiao Ji, Yehui Wu, Yiting He and Jianping Yang
This research tackles the intricate challenges of detecting densely distributed maize leaf diseases and the constraints inherent in YOLO-based detection algorithms. It introduces the GhostNet_Triplet_YOLOv8s algorithm, enhancing YOLO v8s by integrating t...
ver más
|
|
|
|
|
|
|
Dana Puspita Rahmawati,Lulus Kurniasih
Pág. 375 - 383
This study aims to examine the effect of IFRS implementation and audit quality as represented by public accountant firms? size on timely loss recognition in Indonesia. This study uses firm size, profitability, and growth as control variables. This resear...
ver más
|
|
|
|