Results 51 to 60 of about 1,461 (155)

BCM‐YOLO: An improved YOLOv8‐based lightweight porcelain insulator defect detection model

High Voltage, Volume 10, Issue 4, Page 876-889, August 2025.
Abstract Porcelain insulator is an important component of power transmission systems, and its condition detection is essential to ensure safe operation of the power grid. Nevertheless, it is difficult for existing detection models to effectively solve the contradiction between detection accuracy and resource consumption.
Feng Bin, Fan Hou, Da Chen, Kang Qiu, Xiaofeng Lu, Qiuqin Sun   +5 more
wiley   +1 more source

Improved Tomato Leaf Disease Recognition Based on the YOLOv5m with Various Soft Attention Module Combinations

Agriculture
To reduce production costs, environmental effects, and crop losses, tomato leaf disease recognition must be accurate and fast. Early diagnosis and treatment are necessary to cure and control illnesses and ensure tomato output and quality. The YOLOv5m was
Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Seong Seok Choi, Yong Bae Seo, Gun-Do Kim   +5 more
doaj   +1 more source

Explainable AI for Cotton Leaf Disease Classification: A Metaheuristic‐Optimized Deep Learning Approach

Food Science &Nutrition, Volume 13, Issue 7, July 2025.
A hybrid deep learning (DL) model combining EfficientNetB3 and InceptionResNetV2 achieved 98% accuracy in classifying six types of cotton leaf diseases. Genetic Algorithm (GA) optimization improved model generalization, while LIME and SHAP provided interpretable visual and feature‐based explanations, enhancing trust among users.
Gurjot Kaur, Fuad Ali Mohammed Al‐Yarimi, Salil Bharany, Ateeq Ur Rehman, Seada Hussen   +4 more
wiley   +1 more source

GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection

Wind Energy, Volume 28, Issue 6, June 2025.
ABSTRACT For the current visual detection methods of wind turbine blade defects, their detection models are usually excessively large, making it difficult to achieve a balance between model accuracy and inference speed. To address this problem, this paper introduces a lightweight wind turbine blade defect detection network, GCB‐YOLO, which attempts to ...
Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue   +5 more
wiley   +1 more source

A Lightweight Framework for Protected Vegetable Disease Detection in Complex Scenes

Food Science &Nutrition, Volume 13, Issue 5, May 2025.
VegetableDet is an innovative lightweight framework for protected vegetable disease detection, integrating Deformable Attention Transformer (DAT) and Channel‐Spatial Adaptive Attention Mechanism (CSAAM) to effectively address detection challenges in complex environments. Experiments demonstrate that the model achieves 94.31% mean Average Precision (mAP)
Jun Liu, Xuewei Wang, Qian Chen
wiley   +1 more source

Cutting‐Edge Deep Learning Methods for Image‐Based Object Detection in Autonomous Driving: In‐Depth Survey

Expert Systems, Volume 42, Issue 4, April 2025.
ABSTRACT Object detection is a critical aspect of computer vision (CV) applications, especially within autonomous driving systems (AVs), where it is fundamental to ensuring safety and reducing traffic accidents. Recent advancements in computational resources have enabled the widespread adoption of Deep Learning (DL) techniques, significantly enhancing ...
Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Shady Mohamed   +3 more
wiley   +1 more source

VB-SOLO: Single-Stage Instance Segmentation of Overlapping Epithelial Cells

IEEE Access
The instance segmentation of overlapping cells in smear images of epithelial cells is challenging due to the significant overlap and adhesion between the cells’ translucent cytoplasm.
Lichuan Li, Wei Chen, Jie Qi
doaj   +1 more source

The DCN-BiFPN Object Detection Algorithm based on YOLOv8

Abstract Aiming at the problems of traditional target detection algorithms such as high demand for model equipment, low detection accuracy, high leakage rate of overlapping targets, and repeated detection of the same target, we propose an improved multilayer deformable convolution as well as a method for fusing attention mechanisms, and use ...
Bo Yu, Shun Li, Wei Wang, Yuanze Meng, Dongying Liu   +4 more
openaire   +1 more source

EfficientRDet: An EfficientDet-Based Framework for Precise Ship Detection in Remote Sensing Imagery

Remote Sensing
Detecting arbitrarily oriented ships in remote sensing images remains challenging due to diverse orientations, complex backgrounds, and scale variations, leading to a struggle in balancing detector accuracy with efficiency.
Weikang Zuo, Shenghui Fang
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