Results 51 to 60 of about 2,448 (190)

AI‐Driven Deep Learning Framework for Detecting Subtle Surface Defects on Wind Turbine Blades

Wind Energy, Volume 29, Issue 3, March 2026.
ABSTRACT Wind turbine blade surface defect detection is of great significance in ensuring the safety and operational efficiency of wind power systems. However, accurately detecting subtle and small‐scale defects remains challenging under complex imaging conditions.
Shoutu Li, Jiawei Pan, Ling Liu, Jin Zhao, Nianxi Yue, Zhen Wu   +5 more
wiley   +1 more source

DeepSeaNet: Improving Underwater Object Detection using EfficientDet

, 2023
Marine animals and deep underwater objects are difficult to recognize and monitor for safety of aquatic life. There is an increasing challenge when the water is saline with granular particles and impurities.
Jain, Sanyam
core  

OralSegNet: An Approach to Early Detection of Oral Disease Using Transfer Learning

Oral Diseases, Volume 32, Issue 3, Page 791-808, March 2026.
ABSTRACT Objective Deep learning‐based segmentation system is proposed that exploits three variants of YOLOv11 architecture, namely YOLOv11n‐seg, YOLOv11s‐seg, and YOLOv11m‐seg for automated detection and localization of the oral disease conditions from photographic intraoral images.
Pranta Barua, Md Rakibul Islam, Mahmud Uz Zaman, Adel Alenazi, Fawaz Alqahtani, Huda Abutayyem, Maher Al Shayeb, Ruba Odeh, Nesrine A. Elsahn, Mohammad Khursheed Alam   +9 more
wiley   +1 more source

Multi‐Head Bias Fusion and Adaptive Aligned Gradient of Multi‐Task Learning for Joint Human Detection, Segmentation and Pose Estimation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
YOLODSP incorporates multi‐task heads and introduces a BiasFusion module to predict the offsets of pose estimation and segmentation. With an overall average precision difference of no more than 1% relative to the combination of multiple single‐task methods, YOLODSP reduces the computational load by 35.2%, 38.8% and 40.5% on the YOLOv8‐nano, YOLOv8 ...
Feng Lu, Peng Ye, Yaowen Zhang, Ning Lu, Jinsheng Chen, Youchun Xu   +5 more
wiley   +1 more source

GS-BiFPN-YOLO: A Lightweight and Efficient Method for Segmenting Cotton Leaves in the Field

Agriculture
Instance segmentation of cotton leaves in complex field environments presents challenges including low accuracy, high computational complexity, and costly data annotation. This paper presents GS-BiFPN-YOLO, a lightweight instance segmentation method that
Weiqing Wu, Liping Chen
doaj   +1 more source

Vehicle Paint Defect Detection Based on Improved YOLOv8 [PDF]

Jisuanji gongcheng
To address the issues of low accuracy in vehicle paint defect detection, excessive parameters in detection algorithms, and the uneven distribution of easy and hard samples, a vehicle paint detection method based on an improved YOLOv8 is proposed.
HAO Yousheng, WEN Zhenhui, FENG Xiaoxi, DENG Zehua, HUANG Qingbao
doaj   +1 more source

OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation

, 2023
Open-world instance segmentation has recently gained significant popularitydue to its importance in many real-world applications, such as autonomous driving, robot perception, and remote sensing.
Guo, Peng, Liu, Wenyu, Wang, Cheng, Wang, Guoli, Wang, Xinggang, Zhang, Qian   +5 more
core  

AHD‐YOLO: An Adaptive Hybrid Dynamic Network for Building Damage Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
To address the issues of limited detection accuracy and high computational resource consumption in current deep learning‐based building damage detection, we propose a novel framework, AHD YOLO, built upon YOLOv11. AHD YOLO achieves an optimal balance between detection performance and computational resource efficiency, demonstrating strong potential for
Min Li, Tao Xu, Yinping Jiang, Peiyong Ji, Jingqi Hu, Wenlong Lui, Xuejian Ji, Ruiqiang Guo   +7 more
wiley   +1 more source

SSGA‐YOLO: A Lightweight Sonar Image Object Detection Network With Efficient Convolution and Acoustic‐Aware Attention for Embedded Systems

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose SSGA‐YOLO, an efficient underwater sonar image detector designed for deployment on embedded AI platforms. By introducing a lightweight S‐Net backbone, Efficient Group Shuffle Convolution (EGSConv) and Lightweight Shuffle‐Aware Group Attention (LSGA), our model achieves a strong balance between accuracy and efficiency, reducing parameters and
Yan Liu, Gan Yan, Tong Chen, Guanying Huo   +3 more
wiley   +1 more source

Application of Feature Re‐Calibration Network Combined With Transformer in MRI Brain Tumour Diagnosis

IET Image Processing, Volume 20, Issue 1, January/December 2026.
In the context of Smart Healthcare, to assist doctors in diagnosing brain tumours and reduce the medical burden, this paper proposes a lightweight feature re‐calibration network (FRCNet). Aiming at the problem of similar and difficult classification of multi‐class brain tumours, partially transformer block (PTB), a CNN‐Transformer parallel dual‐branch ...
Jiyuan Yan, Moji Pan, Guoxiang Hua, Weiwei Li, Xing Huang, Yehcheng Chen, Zhaorui Zheng   +6 more
wiley   +1 more source