Results 11 to 20 of about 17,346 (205)
Wheat Seed Detection and Counting Method Based on Improved YOLOv8 Model
Wheat seed detection has important applications in calculating thousand-grain weight and crop breeding. In order to solve the problems of seed accumulation, adhesion, and occlusion that can lead to low counting accuracy, while ensuring fast detection ...
Na Ma +4 more
doaj +2 more sources
wrx990822/ESS-YOLOV8: ESS-YOLOV8
<p>ESS-YOLOV8 for night-time site monitoring</p ...
wrx990822
core +3 more sources
Infrared Object Detection Method Based on DBD-YOLOv8
An innovative and improved method for infrared object detection, namely DBD-YOLOv8 (DCN-BiRA-DyHeads-YOLOv8), is presented. The inherent limitations of the YOLOv8 model in scenarios with a low signal-to-noise ratio and complex tasks are addressed, with a
Baihe Lang, Zhengxun Song, Lingyun Shen
core +1 more source
Breast Masses Detection Using YOLOv8 [PDF]
Breast cancer stands as a formidable global health challenge, necessitating swift and precise diagnostic measures to combat its devastating impact. In this study, we delve into the efficacy of YOLOv8, a cutting-edge artificial intelligence model, for the
Abdul Moiz +5 more
core +3 more sources
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
针对无人机航拍图像目标检测效果差的问题,提出改进的UAVAI-YOLO模型。首先,为使模型获得更加丰富的语义信息,使用改进可变形卷积网络(deformable convolutional networks,DCN)替换原骨干(backbone)网络部分通道到像素(channel-to-pixel,C2f)模块原始卷积。其次,为增加P2特征层而不增加模型参数量,提出Conv_C模块将骨干网络输出通道降维,同时避免通道降维导致的语义信息丢失,使用改进ODConv卷积替换颈部(neck)部分C2f模块原始卷积。
何植仟, 曹立杰
doaj +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Object Detection Based on You Look Only Once Version 8 for Real-Time Applications
This research focus to involves human detection in crowded situations, especially in the lecturer's room. The lecturer's room is very vulnerable because it can be accessed by anyone with only one entry and exit to the lecturer's room, so it would be ...
Gede Agus Santiago +2 more
doaj +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source

