Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …
real-time object detection capabilities. This state-of-the-art technology is widely available …
Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling
An extraordinary challenge for real-world applications is traffic sign recognition, which plays
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …
[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV
Transmission power lines are essential to supply electrical energy to consumption centers.
Kee** a reliable transmission system requires the early identification of faults. Image …
Kee** a reliable transmission system requires the early identification of faults. Image …
Traffic sign detection via improved sparse R‐CNN for autonomous vehicles
T Liang, H Bao, W Pan, F Pan - Journal of Advanced …, 2022 - Wiley Online Library
Traffic sign detection is an important component of autonomous vehicles. There is still a
mismatch problem between the existing detection algorithm and its practical application in …
mismatch problem between the existing detection algorithm and its practical application in …
Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks
Blink detection is an important technique in a variety of settings, including facial movement
analysis and signal processing. However, automatic blink detection is very challenging …
analysis and signal processing. However, automatic blink detection is very challenging …
Contrast limited adaptive histogram equalization for recognizing road marking at night based on YOLO models
In recent years, artificial intelligence has led to rapid development and application across
various industries. One of the significant developments is the improvement of transportation …
various industries. One of the significant developments is the improvement of transportation …
An object detection method for bayberry trees based on an improved YOLO algorithm
Y Chen, H Xu, X Zhang, P Gao, Z Xu… - International journal of …, 2023 - Taylor & Francis
To quickly detect and count the number of bayberry trees, this paper improves the YOLO-v4
model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on …
model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on …
Smart glass system using deep learning for the blind and visually impaired
M Mukhiddinov, J Cho - Electronics, 2021 - mdpi.com
Individuals suffering from visual impairments and blindness encounter difficulties in moving
independently and overcoming various problems in their routine lives. As a solution, artificial …
independently and overcoming various problems in their routine lives. As a solution, artificial …
[HTML][HTML] ASFF-YOLOv5: Multielement detection method for road traffic in UAV images based on multiscale feature fusion
M Qiu, L Huang, BH Tang - Remote Sensing, 2022 - mdpi.com
Road traffic elements are important components of roads and the main elements of
structuring basic traffic geographic information databases. However, the following problems …
structuring basic traffic geographic information databases. However, the following problems …
A deep-learning-based detection approach for the identification of insect species of economic importance
Simple Summary This study aims at develo** a machine-learning-based classification
approach to recognize insect species of economic importance. Two tephritid pest species …
approach to recognize insect species of economic importance. Two tephritid pest species …