Results 81 to 90 of about 1,151 (212)

Lightweight Pyramid Cross-Attention Network for No-Service Rail Surface Defect Detection

IEEE Access
Vision-based rail defect detection plays a crucial role in ensuring the safety and efficiency of railway transportation systems. However, many existing methods face challenges such as high parameters, complex computation, slow inspection speed, and low ...
Sixu Guo, Jiyou Fei, Liying Wang, Hua Li, Xiaodong Liu   +4 more
doaj   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source

A Novel Decomposition Model for Visual Rail Surface Inspection

, 2021
Rail surface inspection plays a pivotal role in large-scale railway construction and development. However, accurately identifying possible defects involving a large variety of visual appearances and their dynamic illuminations remains challenging.
Ziwen Zhang, Zhiyu Liu, Mangui Liang
core   +1 more source

Fatigue Crack Modeling of Railheads Using a Nonlinear Cohesive Zone Model

Fatigue &Fracture of Engineering Materials &Structures, EarlyView.
ABSTRACT Subsurface fatigue crack growth within railheads can be deleterious leading to catastrophic failures in rails. This study aims to model the fatigue crack growth originating at the subsurface level within railheads. Towards that end, a finite element modeling approach is utilized wherein complex crack growth is explicitly modeled using a ...
Santosh Reddy Kommidi, Hesam Mortazavi, Yong‐Rak Kim, David H. Allen   +3 more
wiley   +1 more source

Research on Rail Surface Defect Detection Based on Improved CenterNet

Rail surface defect detection is vital for railway safety. Traditional methods falter with varying defect sizes and complex backgrounds, while two-stage deep learning models, though accurate, lack real-time capabilities.
Yizhou Mao, Liming Li, Renjie Shi, Shubin Zheng, Xiaoxue An   +4 more
core   +1 more source

Rail Surface Defect Detection and Severity Analysis Using CNNs on Camera and Axle Box Acceleration Data [PDF]

Rail surface defect detection is a relevant problem in the field of data-driven railway maintenance. Artificial intelligence and neural networks (NN) for axle box acceleration (ABA) or camera data show great potential for defect detection and ...
Lähns, Alexander, Baasch, Benjamin, Heusel, Judith, Jahan, Kanwal, Roth, Michael   +4 more
core   +1 more source

FHENet: lightweight feature hierarchical exploration network for real-time rail surface defect inspection in RGB-D images

, 2023
In recent years, computer vision systems have been increasingly applied to rail defect inspection. Rail defects should be identified quickly and accurately to ensure safe, stable, and fast train operations and thereby reduce the incidence of accidents ...
Zhou, Wujie, Hong, Jiankang
core   +1 more source

Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

Advances in Civil Engineering, 2010
Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes.
Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips   +6 more
doaj   +1 more source

Women in space: A review of known physiological adaptations and health perspectives

Experimental Physiology, EarlyView.
Abstract Exposure to the spaceflight environment causes adaptations in most human physiological systems, many of which are thought to affect women differently from men. Since only 11.5% of astronauts worldwide have been female, these issues are largely understudied.
Millie Hughes‐Fulford, Danielle J. Carroll, Heather C. M. Allaway, Bonnie J. Dunbar, Aenor J. Sawyer   +4 more
wiley   +1 more source

Optimising digital signal processor‐based defect detection in smart manufacturing with lightweight convolutional neural networks

IET Collaborative Intelligent Manufacturing
Industrial defect detection is an important part of intelligent manufacturing, and Internet of things (IoT)‐based defect detection is receiving more and more attention. Although deep learning (DL) can help defect detection reduce the cost and improve the
Han Yue, Rucen Wang, Yi Gao, Ailing Xia, Kaikai Su, Jianhua Zhang   +5 more
doaj   +1 more source