Search Results - "Object recognition (Computer vision)"

复杂工况下煤矿有轨电机车无人驾驶障碍物识别.

Alternate Title: Identification of unmanned obstacles of railway electric locomotive in coal mine under complicated working conditions.

Authors: 梁镇洹 贾晓芬 赵佰亭 et al.

Source: Coal Science & Technology (0253-2336). May2026, Vol. 54 Issue 5, p145-161. 17p.

Subject Terms: *Object recognition (Computer vision), *Deep learning, *Coal mining, *Automatic target recognition, *Electric locomotives, *Feature extraction

煤矿井下煤矸低质图像增强识别算法.

Alternate Title: Image enhancement and recognition algorithms for low-quality coal gangue in underground coal mines.

Authors: 李德永 高员博 郭永存 et al.

Source: Coal Science & Technology (0253-2336). May2026, Vol. 54 Issue 5, p94-108. 15p.

Subject Terms: *Image enhancement (Imaging systems), *Object recognition (Computer vision), *Deep learning, *Coal mining, *Signal denoising, *Image processing

Autonomous Inspection Technology for Ultra-Large-Scale Photovoltaic Panels Based on AI Vision.

Authors: Gong, Quanhua Khan, Muhammad Imran Liu, Shuhai et al.

Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2419. 20p.

Subject Terms: *Object recognition (Computer vision), *Deep learning, *Robot vision, *Renewable energy sources, *Photovoltaic power systems, *Quality control, *Remote sensing, *Photovoltaic power generation

Transmission Line Insulator Defect Detection Method Based on YOLO-MLSL Model.

Authors: Zheng, Renhao Duan, Guoyong Cao, Xin et al.

Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2305. 21p.

Subject Terms: *Object recognition (Computer vision), *Loss functions (Statistics)

Exploratory Evaluation of Pedestrian Risk through YOLO-Based Object Movement Pattern Analysis: A Statistical Framework Proposal.

Authors: Batzaya, Tsagaantsooj Cho, Eunbi Chang, Jeong-Hyeon et al.

Source: Journal of Internet Computing & Services. Jun2026, Vol. 27 Issue 3, p99-107. 9p.

Resource-Efficient Helmet Detection Using Structured L1 Channel Pruning of YOLOv11n.

Authors: Ridho, Ihda Innar Andono, Pulung Nurtantio Purwanto et al.

Source: Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1403-1417. 15p.

Optimization of Real-Time Object Detection on Edge Devices via Lightweight CNN Architectures and Quantization Methods.

Authors: Jabbar, Saadya Fahad Mohsin, Nuha Sami Alwan, Asmaa Hussien et al.

Source: Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1747-1762. 16p.

Comparative Study of Deep Learning Approaches for Object Detection in Medical Imaging.

Authors: Saraswathi, K. Shanmugapriyan, M.

Source: International Scientific Journal of Engineering & Management. May2026, Vol. 5 Issue 5, p1-8. 8p.

一种改进 YOLOv8s 的无人机航拍目标检测方法.

Alternate Title: An Improved YOLOv8s-based Object Detection Method for Unmanned Aerial Vehicle Aerial Scenarios.

Authors: 张 敏^1,2 zmin_18@163.com

Source: Telecommunication Engineering. 5/28/2026, Vol. 66 Issue 5, p737-746. 10p.

Few-Shot Object Detection via Multi-Scale Channel Aggregation and Contrastive Prototype Learning.

Authors: Sun, Huadong Tong, Junwei Zhao, Yexuan

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2866-2881. 16p.

Subjects: Contrastive learning, Object recognition (Computer vision), Feature extraction

Lightweight UAV Small Target Detection Algorithm Based on Improved YOLOv8.

Authors: Zhang, Bo Tao, Ye Cui, Wenhua

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2778-2789. 12p.

Subjects: Object recognition (Computer vision), Loss functions (Statistics)

A Two-Stage Automatic Framework For Rail Surface Inspection Using YOLOv10 And AutoML.

Authors: Ha, Minh Tuan Nguyen, Phuong Ty

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2764-2777. 14p.

Subjects: Inspection & review, Object recognition (Computer vision), Neural architecture search, Railroad safety measures, Real-time computing, Convolutional neural networks

ARL-YOLO: A Lightweight Steel Surface Defect Detection Algorithm.

Authors: Sun, Xinguo Tao, Ye Cui, Wenhua et al.

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2629-2639. 11p.

Subjects: Algorithms, Object recognition (Computer vision), Edge computing

RS-YOLO: An Improved Defect Detection Method for Transmission Line Insulators.

Authors: Xia, Zhenglong Ren, Yingying Li, Can et al.

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2917-2928. 12p.

Subjects: Electric insulators & insulation, Object recognition (Computer vision), Image processing, Drone surveillance, Artificial intelligence, Cost functions

Research on Road Defect Detection Algorithm Based on YOLOv11 with Multi-scale Feature Extraction.

Authors: Liu, Yong Tian, Ying

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2877-2887. 11p.

Subjects: Feature extraction, Object recognition (Computer vision), Real-time computing

A Lightweight YOLOv11-Based Model for Steel Surface Defect Detection.

Authors: Wu, Fanghan Zhang, Yujun

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2728-2739. 12p.

Subjects: Industrial applications, Object recognition (Computer vision), Feature extraction, Real-time computing

Research on Crab Grading Detection and Recognition Method Based on YOLOv11.

Authors: Kang, Jie Chen, Xiaoying

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2617-2623. 7p.

Subjects: Convolutional neural networks, Object recognition (Computer vision)

An Improved YOLOv11-Based Model for Pavement Defect Detection.

Authors: Han, Jiatong Wang, Li

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2570-2583. 14p.

Subjects: Feature extraction, Object recognition (Computer vision)

Improved Binocular Localization of Bolts in Substation Based on Clamp and Bolts Detection Using YOLOv11 for Robotic Maintaining.

Authors: Wu, Xuxiang Wu, Xiaoliang Zhou, Qihui et al.

Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2488-2497. 10p.

Subjects: Binocular vision, Object recognition (Computer vision), Triangulation, Stereo image processing, Clamps (Engineering), Electric substations, Robotics

Salient object detection method based on object integrity enhancement guided by edge information.

Authors: QIU, Haoqing GE, Hongwei LI, Ting

Source: Journal of Measurement Science & Instrumentation. Jun2026, Vol. 17 Issue 2, p195-207. 13p.

Subjects: Feature extraction, Object recognition (Computer vision), Signal convolution