Results 51 to 60 of about 12,664 (249)

Step‐Ladder Bioprinting to Align Collagen Fibers for Anisotropic Tissue Fabrication

Small, EarlyView.
The step‐ladder printing platform includes successive segments of channels with varying widths in a custom barrel design. This design allows for improved anisotropy of collagen fibers during extrusion. To demonstrate its effectiveness, corneal constructs with high transparency and shape fidelity, as well as articular cartilage constructs, displaying ...
Ilayda Namli, Yogendra Pratap Singh, Deepak Gupta, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Joao Vitor Silva Robazzi, Medine Dogan Sarikaya, Mehmet Baykara, Ibrahim T. Ozbolat   +8 more
wiley   +1 more source

A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning

JOIN: Jurnal Online Informatika
Student engagement in online learning is an important factor that can affect learning outcomes. One indicator of engagement is facial expression.
Dewi Tresnawati, Shopi Nurhidayanti, Nina Lestari   +2 more
doaj   +1 more source

Portable Radar for Noncontact Heart Rate Monitoring and Estrus Detection in Dairy Cows

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study introduces a portable radar system for real‐time monitoring of respiratory and heart rates in dairy cows. It uses millimeter‐wave Frequency Modulated Continuous Wave (FMCW) radar to perform noncontact physiological sensing, reducing behavioral disturbance. The radar system's design prioritizes portability, cost‐effectiveness, and robustness,
Yingxiu Li, Ranran Wang, Fuyang Tian, Yudao Li, Zhuolin Wang, Yuxin Yu, Liping Ma, Xin Lu   +7 more
wiley   +1 more source

Underground helmet detection algorithm based on improved YOLOv8s

Meikuang Anquan
In the process of coal mine underground operation, the safety helmet is the most direct and effective protective measure, and it is an important measure to ensure the safety of miners.
Jiaru YANG, Yinan QIN, Tianxu LI, Han ZHUANG   +3 more
doaj   +1 more source

Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model

Integrative Zoology, EarlyView.
This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li, Chengrui Shang, Xian Hou, Qi Wang, Jiao Wang, Taxing Zhang, Xiangjiang Zhan, Shengkai Pan   +7 more
wiley   +1 more source

Peering into the world of wild passerines with 3D‐SOCS: Synchronized video capture and posture estimation

Methods in Ecology and Evolution, EarlyView.
Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento, Alex Hoi Hang Chan, Lucy M. Aplin, Fumihiro Kano   +3 more
wiley   +1 more source

YOLOv8-UC: An Improved YOLOv8-Based Underwater Object Detection Algorithm

IEEE Access
Underwater object detection technology is widely used in fields such as ocean exploration. However, due to the complex underwater environment, issues like light attenuation and scattering lead to low detection accuracy, which fails to meet the requirements. To address these issues, we propose an improved YOLOv8n-based model called YOLOv8-UC. This model
Jinghua Huang, Chao Fang, Xiaogang Zheng, Jue Liu   +3 more
openaire   +2 more sources

Research on mulberry leaf disease recognition method based on deep learning

Dianzi Jishu Yingyong
To improve the accuracy of mulberry leaf disease detection and enable convenient and rapid deployment of models on mobile devices, an improved version of the YOLOv8 model, named YOLOv8-Evo, is proposed to address issues such as small lesion spots and ...
Ye Hui, Xiang Donghui, Zeng Songwei
doaj   +1 more source

Diagnostic Accuracy of Deep Learning Models in Detecting Peri‐Implant Marginal Bone Loss: A Systematic Review and Meta‐Analysis

Clinical Oral Implants Research, EarlyView.
ABSTRACT Background Peri‐implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models show promise for enhancing radiographic diagnosis. Objectives This review systematically evaluated the diagnostic performance of deep learning models in detecting peri‐implant marginal bone loss ...
Momen A. Atieh, Maanas Shah, Abeer Hakam, Fawaghi AlAli, Samhar AlSayed, Andrew Tawse‐Smith, Nabeel H. M. Alsabeeha   +6 more
wiley   +1 more source

C4D-YOLOv8: improved YOLOv8 for object detection on drone-captured images

Signal, Image and Video Processing
Abstract Unmanned aerial vehicles (UAVs), as an emerging technology with vast application prospects, produce distinctive images due to factors, such as their shooting environment, altitude, and equipment. These UAV-captured images possess unique characteristics compared with traditional pictures, including high resolution, abundant presence of ...
Weihui Zeng, Pengcheng Wu, Junyan Wang, Gensheng Hu, Jinling Zhao   +4 more
openaire   +1 more source