Results 21 to 30 of about 17,346 (205)
This study evaluates the effectiveness of various detection-based object-tracking algorithms to optimize accuracy and efficiency in traffic flow monitoring. Due to its high accuracy in detecting objects, YOLOv8 was chosen as the vehicle detector for this
Hai T. Ton +6 more
doaj +1 more source
Six‐DoF Strawberry Harvesting Pose Selection and Adaptive Obstacle Clearing in Occluded Environments
An occlusion‐aware 6‐DoF harvesting strategy integrates γ‐angle pose selection, ripeness‐weighted risk evaluation, and adaptive obstacle clearing. The approach enables collision‐free grasping orientation selection and improves strawberry harvesting reliability under complex occlusion, achieving higher success rates and reduced fruit damage. In complex,
Tianxiao Zhu +4 more
wiley +1 more source
YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection [PDF]
IntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.MethodsThis ...
Yinuo Wang +8 more
core +1 more source
CSD-YOLOv8s: Dense Sheep Small Target Detection Model Based on UAV Images
ObjectiveThe monitoring of livestock grazing in natural pastures is a key aspect of the transformation and upgrading of large-scale breeding farms. In order to meet the demand for large-scale farms to achieve accurate real-time detection of a large ...
WENG Zhi, LIU Haixin, ZHENG Zhiqiang
doaj +1 more source
A distributed multirobot architecture enables asynchronous vineyard inspection and localized treatment through a cloud‐based mission control center. Real‐world validation demonstrates reliable coordination of heterogeneous robots, accurate disease detection, and effective conversion of georeferenced observations into targeted treatment actions ...
José M. Bengochea‐Guevara +7 more
wiley +1 more source
A Regional Farming Pig Counting System Based on Improved Instance Segmentation Algorithm
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating.
ZHANG Yanqi +4 more
doaj +1 more source
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok +7 more
wiley +1 more source
Improving YoloPX using YoloP and Yolov8 for Panoptic Driving Perception
Autonomous driving technology (ADS) has seen significant advancements over the past decade, with car manufacturers investing heavily in its development to meet the growing demand for safer, more efficient, and eco-friendly transportation solutions.
Xie Yumeng +3 more
doaj +1 more source
Multicenter, Multivendor Development and Validation of Automated Liver Prescription
ABSTRACT Background Manual prescription of liver MRI volumes introduces inter‐operator variability and prolongs exam duration. Artificial intelligence (AI)‐based prescription has been demonstrated, but existing work has been limited to single‐vendor settings. Purpose To develop and validate an AI model for automated liver MRI prescription using a large,
Garrett C. Fullerton +13 more
wiley +1 more source
INTELLIGENT HUMAN RESCUE ROBOT: AN AI-DRIVEN APPROACH WITH FPGA TECHNOLOGY
This study introduces an innovative AI-driven robotic system designed to enhance search and rescue operations in disaster-stricken areas, including earthquakes, floods, and conflict zones.
Salam Al-Khammasi +3 more
doaj +1 more source

