Results 81 to 90 of about 2,335 (188)

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

Fig 10 -

The FPN, PAN, and BiFPN network structure: (a) FPN; (b) PAN; (c) BiFPN.
Danya Zhang (15309566), Xuesong Huang (18468785), Ligang Qu (18468782), Zeng Chen (6910307)   +3 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

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

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

OTB-YOLO: An Enhanced Lightweight YOLO Architecture for UAV-Based Maize Tassel Detection

Plants
To tackle the challenges posed by substantial variations in target scale, intricate background interference, and the likelihood of missing small targets in multi-temporal UAV maize tassel imagery, an optimized lightweight detection model derived from ...
Yu Han, Xingya Wang, Luyan Niu, Song Shi, Yingbo Gao, Kuijie Gong, Xia Zhang, Jiye Zheng   +7 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

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

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

AI-Based Real-Time Fabric Defect Detection Using an Enhanced SSD with Bidirectional Feature Pyramid Networks

Textiles
Fabric defect detection is one of the most significant challenges in the textile industry due to its critical role in quality assessment and management.
Aws Mohammed Hameed Al-Khazraji, Saeed Golmohammadi, Amir A. Ghavifekr   +2 more
doaj   +1 more source