Results 41 to 50 of about 15,951 (227)
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
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
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang +9 more
wiley +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
Robotics for Crop Pollination: Recent Advances and Future Direction
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota +3 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
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné +8 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
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 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

