Results 11 to 20 of about 151,555 (254)

Automated classification and detection of multiple pavement distress images based on deep learning

Journal of Traffic and Transportation Engineering (English ed. Online), 2023
To achieve automatic, fast, efficient and high-precision pavement distress classification and detection, road surface distress image classification and detection models based on deep learning are trained. First, a pavement distress image dataset is built,
Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang, Yiying Zhang   +4 more
doaj   +3 more sources

Automated Distress Detection, Classification and Measurement for Asphalt Urban Pavements Using YOLO

Engineering Proceedings, 2023
In pavement management, it is essential to have a good database with information on the condition of the roads that compose the corresponding network. In Chile, such a database does not currently exist, and there is no technology that can evaluate urban ...
Paulina Gómez-Conti, Alelí Osorio-Lird, Héctor Allende-Cid   +2 more
doaj   +1 more source

Automatic Detection of Self-Adaptors for Psychological Distress [PDF]

2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020
Psychological distress is a significant and growing issue in society. Automatic detection, assessment, and analysis of such distress is an active area of research. Compared to modalities such as face, head, and vocal, research investigating the use of the body modality for these tasks is relatively sparse. This is, in part, due to the lack of available
Lin, Weizhe, Orton, Indigo, Liu, Mingyu, Mahmoud, Marwa   +3 more
openaire   +1 more source

Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses

JMIR Formative Research, 2021
BackgroundInternalizing mental illnesses associated with psychological distress are often underdetected. Text-based detection using natural language processing (NLP) methods is increasingly being used to complement conventional ...
Masae Manabe, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki   +4 more
doaj   +1 more source

Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery

Journal of Engineering, 2022
Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as distress detection on the pavement, pothole detection, and healthcare.
Yue Wang, Tian Ye
doaj   +1 more source

HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
With an ever-increasing network of thousands of miles of pavement laid out over highways, road networks, and airport runways, their continuous monitoring is a task of utmost importance to public agencies responsible for their maintenance.
R. Ravi, D. Bullock, A. Habib
doaj   +1 more source

Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching

Journal of Advanced Transportation, 2020
Camera-based pavement distress detection plays an important role in pavement maintenance. Duplicate collections for the same distress and multiple overlaps of defects are both practical problems that greatly affect the detection results.
Yuchuan Du, Zihang Weng, Chenglong Liu, Difei Wu   +3 more
doaj   +1 more source

Homotopy of resting-state functional connectivity correlates with psychological distress in adolescent and young adult cancer patients

Frontiers in Bioscience-Landmark, 2021
Background: Adolescent and young adult cancer patients (AYACPs) experience a high incidence of psychological distress. However, the effect of psychological distress on the functional connectivity between the hemispheres in AYACPs remains unknown.
Jianfei Xie, Lijun Li, Lu Wang, Panpan Xiao, Jin Liu, Xiangyu Liu, Jianda Zhou, Yunjie Liao, Andy SK Cheng   +8 more
doaj   +1 more source

Distress Detection in Road Pavements Using Neural Networks

, 2021
Combining Computer Vision (CV) and Anomaly Detection (AD), there is a convergence of methodologies using convolutional layers in AD architectures, which we consider an innovation in the field. The main goal of this work is to present different Artificial Neural Networks (ANN) architectures, applying them to distress detection in road pavements and ...
Luís Filipe Gomes, Cesar Analide, Elisabete Freitas   +2 more
openaire   +1 more source

A Smart Multi-Sensor Device to Detect Distress in Swimmers [PDF]

Sensors, 2022
Drowning is considered amongst the top 10 causes of unintentional death, according to the World Health Organization (WHO). Therefore, anti-drowning systems that can save lives by preventing and detecting drowning are much needed. This paper proposes a robust and waterproof sensor-based device to detect distress in swimmers at varying depths and ...
Salman Jalalifar, Afsaneh Kashizadeh, Ishmam Mahmood, Andrew Belford, Nicolle Drake, Amir Razmjou, Mohsen Asadnia   +6 more
openaire   +3 more sources