Automatic Defect Detection in Sewer Pipe Closed-Circuit Television Images via Improved You Only Look Once Version 5 Object Detection Network

J Huang, H Kang - IEEE Access, 2024 - ieeexplore.ieee.org
A sewer pipe system is an indispensable part of a modern city's infrastructure. However,
sewer pipes gradually deteriorate over time and develop defects such as cracks, deposits …

Carbonate reservoir fracture‐cavity system identification based on the improved YOLOv5s deep learning algorithm

X Feng, K Zhao, J Zhang, J Wang - Energy Science & …, 2024 - Wiley Online Library
In carbonate reservoirs characterized by the fracture‐cavity system as storage spaces, the
drilling process is highly prone to the loss of drilling fluid. This not only affects drilling …

Integrated Algorithm Based on Bidirectional Characteristics and Feature Selection for Fire Image Classification

Z Wang, X Zhao, Y Tao - Electronics, 2023 - mdpi.com
In some fire classification task samples, it is especially important to learn and select limited
features. Therefore, enhancing shallow characteristic learning and accurately reserving …

SIMCB-Yolo: An Efficient Multi-Scale Network for Detecting Forest Fire Smoke

W Yang, Z Yang, M Wu, G Zhang, Y Zhu, Y Sun - Forests, 2024 - mdpi.com
Forest fire monitoring plays a crucial role in preventing and mitigating forest disasters. Early
detection of forest fire smoke is essential for a timely response to forest fire emergencies …

基于改进YOLOv5 模型的织物疵点检测.

高敏, 邹阳林, 曹新旺 - Advanced Textile Technology, 2023 - search.ebscohost.com
针对传统机器学习方法检测织物疵点精度低ꎬ 小目标检测较困难的问题ꎬ 提出一种基于改进
YOLOv5 的织物疵点的目标检测算法ꎮ 在YOLOv5 模型的Backbone 模块中分别引入SE …

DCGC-YOLO: The Efficient Dual-Channel Bottleneck Structure YOLO Detection Algorithm for Fire Detection

Y He, J Hu, M Zeng, Y Qian, R Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
Fast and highly accurate fire detection algorithms are crucial for production and daily life.
However, detecting fires in the early stages is challenging due to the lack of distinct features …

Deep Learning-Based Multiple Droplet Contamination Detector for Vision Systems Using a You Only Look Once Algorithm

Y Kim, W Kim, J Yoon, S Chung, D Kim - Information, 2024 - mdpi.com
This paper presents a practical contamination detection system for camera lenses using
image analysis with deep learning. The proposed system can detect contamination in …

FuF-Det: An Early Forest Fire Detection Method under Fog

Y Pang, Y Wu, Y Yuan - Remote Sensing, 2023 - mdpi.com
In recent years, frequent forest fires have seriously threatened the earth's ecosystem and
people's lives and safety. With the development of machine vision and unmanned aerial …

基于TC-YOLO 模型的北京珍稀鸟类识别方法

李柏灿, 张军国, 张长春, 王丽凤, 徐基良… - 生物多样性, 2024 - biodiversity-science.net
北京地区珍稀鸟类的保护对维护当地生物多样性具有重要意义. 随着人工智能技术的发展,
利用深度学习技术自动识别鸟类成为鸟类调查保护的重要手段. 实际鸟类图像存在背景复杂以及 …

Scalability and sustainability in chatbot and mobile application development

V Kumari, AA Sharma, Y Sharma… - 2023 13th International …, 2023 - ieeexplore.ieee.org
A primary concern in the development of mobile applications is ensuring that the apps can
manage a rising user base without degrading the user experience or performance …