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
Pedestrian detection in low-light conditions: A comprehensive survey
Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …
Thermal object detection in difficult weather conditions using YOLO
Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …
citizens, and every effort is made to exploit all available technological advances to prevent …
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Y Zhu, G Li, S Tang, R Wang, H Su, C Wang - Applied acoustics, 2022 - Elsevier
As the heart of a fluid power system, hydraulic piston pumps are widely used in many critical
applications, such as for marine, aerospace, and engineering equipment. The health status …
applications, such as for marine, aerospace, and engineering equipment. The health status …
A review on driving control issues for smart electric vehicles
Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact
on the environment whilst providing a safer and smoother riding experience. To provide the …
on the environment whilst providing a safer and smoother riding experience. To provide the …
Multi-task faster R-CNN for nighttime pedestrian detection and distance estimation
Distance estimation and pedestrian detection are critical for safe driving operation decision-
making and autonomous vehicle intelligent control strategies. This paper proposes a novel …
making and autonomous vehicle intelligent control strategies. This paper proposes a novel …
Automated defect classification in infrared thermography based on a neural network
Y Duan, S Liu, C Hu, J Hu, H Zhang, Y Yan, N Tao… - NDT & E …, 2019 - Elsevier
This paper reports on the use of a neural network in infrared thermography to classify
defects, such as air, oil, and water, which can degrade material performance. A finite …
defects, such as air, oil, and water, which can degrade material performance. A finite …
[HTML][HTML] Intelligent fault diagnosis of hydraulic piston pump based on wavelet analysis and improved alexnet
Y Zhu, G Li, R Wang, S Tang, H Su, K Cao - Sensors, 2021 - mdpi.com
Hydraulic piston pump is the heart of hydraulic transmission system. On account of the
limitations of traditional fault diagnosis in the dependence on expert experience knowledge …
limitations of traditional fault diagnosis in the dependence on expert experience knowledge …
[HTML][HTML] AIR-YOLOv3: Aerial infrared pedestrian detection via an improved YOLOv3 with network pruning
Y Shao, X Zhang, H Chu, X Zhang, D Zhang, Y Rao - Applied Sciences, 2022 - mdpi.com
Aerial object detection acts a pivotal role in searching and tracking applications. However,
the large model, limited memory, and computing power of embedded devices restrict aerial …
the large model, limited memory, and computing power of embedded devices restrict aerial …
Pedestrian detection using a moving camera: A novel framework for foreground detection
While background subtraction techniques have been widely applied to detect moving
objects in a video stream captured by a static camera, detecting moving objects using a …
objects in a video stream captured by a static camera, detecting moving objects using a …
Improved remote sensing image classification based on multi-scale feature fusion
C Zhang, Y Chen, X Yang, S Gao, F Li, A Kong, D Zu… - Remote Sensing, 2020 - mdpi.com
When extracting land-use information from remote sensing imagery using image
segmentation, obtaining fine edges for extracted objects is a key problem that is yet to be …
segmentation, obtaining fine edges for extracted objects is a key problem that is yet to be …