Results 81 to 90 of about 2,016 (190)

DenseNet-BiFPN-ECA Fusion Network: An Enhanced Transfer Learning Approach for Tomato Leaf Disease Recognition

Horticulturae
Early and accurate identification of tomato leaf diseases constitutes a key safeguard for mitigating economic losses in tomato production. Conventional tomato leaf disease detection methodologies are constrained by inherent limitations, such as low ...
Lina Liang, Jingnan Chen, Ying Tian, Hongyan Wang, Yiting Cai, Fenglin Zhong, Senpeng Wang, Maomao Hou, Junyang Lu   +8 more
doaj   +1 more source

A Robust YOLOv5 Model with SE Attention and BIFPN for Jishan Jujube Detection in Complex Agricultural Environments

This study presents an improved detection model based on the YOLOv5 (You Only Look Once version 5) framework to enhance the accuracy of Jishan jujube detection in complex natural environments, particularly with varying degrees of occlusion and dense ...
Lijun Su, Yiren Tian, Hao Chen, Gang Hu, Weiyi Mu, Yixin Chai   +5 more
core   +1 more source

An Improved YOLOv8 OBB Model for Ship Detection through Stable Diffusion Data Augmentation

Sensors
Unmanned aerial vehicles (UAVs) with cameras offer extensive monitoring capabilities and exceptional maneuverability, making them ideal for real-time ship detection and effective ship management.
Sang Feng, Yi Huang, Ning Zhang
doaj   +1 more source

A Green Jujube Grading Model Using BiFPN and COT Attention Mechanism

Agronomy
The grading of green jujube is a key factor in improving production efficiency and market competitiveness. However, traditional grading methods are inefficient, imprecise, and struggle to detect minor damages.
Pengyan Chang, Xudong Zhu, Huini Wu, Shuijin Wu, Fan Jiang   +4 more
doaj   +1 more source

AI-Enhanced Virus Detection in Biopharmaceutical Production Processes

Applied Sciences
Ensuring viral safety is a fundamental requirement in the production of biopharmaceutical products. Transmission Electron Microscopy (TEM) has long been recognized as a critical tool for detecting viral particles in unprocessed bulk (UPB) samples, yet ...
Wei He, Zhihao Xu, Ziyi Wang, Hang Lin, Li Xie, Hailin Yang   +5 more
doaj   +1 more source

Performance of EfficientPose Method with Reduced BiFPN Layer for 6D Pose Estimation

Nusantara Science and Technology Proceedings
Smart technologies, such as automatic self-driving cars, autopilot aircraft, and self-controlled robots, are devices that have the intelligence to control the steering system automatically. In this study, we propose an approach to predict the position of objects in 3D space for controlling autopilot smart devices with more diverse and accurate response
Budi Nugroho, Eva Yulia Puspaningrum, Anny Yuniarti   +2 more
openaire   +1 more source

A Lightweight YOLOv8-Based Network for Efficient Corn Disease Detection

Mathematics
To address the pressing need for accurate and efficient detection of corn diseases, we propose a novel, lightweight object detection framework, CBS-YOLOv8 (C2f-BiFPN-SCConv YOLOv8), which builds upon the YOLOv8 architecture to enhance performance for ...
Deao Song, Yiran Peng, Xinyuan Gu, KinTak U   +3 more
doaj   +1 more source

Motion vehicle detection for traffic video streams

The Journal of Engineering
This research offers an enhanced version of the YOLOv5s+MobileNetV3+BiFPN method to address a number of issues in moving vehicle recognition in traffic video streams, including lightweight network model, motion blur, scene delay etc.
Jianhao Song, Hua Ding, Lai Liu, Juntao Chen   +3 more
doaj   +1 more source

YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9

IEEE Access
Regarding the current problems of false alarms and missed detections in fire detection, we propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU), by optimizing YOLOV9.
Xin Geng, Xiao Han, Xianghong Cao, Yixuan Su, Dongxue Shu   +4 more
doaj   +1 more source

Vehicle detection and classification for traffic management and autonomous systems using YOLOv10

Alexandria Engineering Journal
With the continuous development of Intelligent Transportation Systems (ITS), real-time vehicle detection and classification have become critical tasks for urban traffic management and autonomous driving.
Anning Ji, Xintao Ma
doaj   +1 more source