Results 31 to 40 of about 155,602 (285)
Psychological distress, physical illness, and risk of coronary heart disease [PDF]
Study objective: The aims of this study are to confirm the association between psychological distress and coronary heart disease (CHD) using an epidemiological community study with hospital admissions data and to examine if any association is explained ...
Rasul, F. +7 more
core +1 more source
Diagnosing antenatal fetal distress [PDF]
Objectives: The values of acceleration capacity and deceleration capacity are known to capture fetal neurological development. The fetal growth restriction was found to be featured by decreased variables of phase rectified signal averaging.
Uzel, Kemine; Erzincan Binali Yildirim University Mengucek Gazi Training and Research Hospital, Department of Gynecology and Obstetrics, Turkey +1 more
core +4 more sources
Pavement distress detection using smartphones [PDF]
Road distress detection is crucial for road maintenance. Identifying the problem areas comes first prior to applying remediation methods. Latest technological advances in smartphones have eased the efforts of the engineers in the process of survey.
Gorthy, Venkata Ashish
core +1 more source
Innovative road distress detection (IR-DD): an efficient and scalable deep learning approach [PDF]
In the rapidly evolving landscape of transportation infrastructure, the quality and condition of road networks play a pivotal role in societal progress and economic growth.
Ahsan Zaman Awan +5 more
doaj +2 more sources
Distress Detection in Road Pavements Using Neural Networks
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 +2 more
openaire +1 more source
Pavement Distress Detection Using Three-Dimension Ground Penetrating Radar and Deep Learning
Three-dimensional ground penetrating radar (3D GPR) is a non-destructive examination technology for pavement distress detection, for which its horizontal plane images provide a unique perspective for the task.
Jiangang Yang +4 more
doaj +1 more source
Enhancing Pavement Distress Detection Using a Morphological Constraints-Based Data Augmentation Method [PDF]
Pavement distress data in a single section usually presents a long-tailed distribution, with potholes, sealed cracks, and other distresses normally located at the tail.
Changwei Yuan +5 more
core +1 more source
Pain and empathy: the effect of self-oriented feelings on the detection of painful facial expressions. [PDF]
Painful facial expressions have been shown to trigger affective responses among observers. However, there is so far no clear indication about the self- or other-oriented nature of these feelings.
Delphine Grynberg, Pierre Maurage
doaj +1 more source
Road surface deterioration, such as cracks and potholes, poses a significant threat to both road safety and infrastructure longevity. Swift and accurate detection of these issues is crucial for timely maintenance and user security.
Ye Yuan +3 more
doaj +1 more source
Asphalt pavements are subject to regular inspection and maintenance activities over time. Many techniques have been suggested to evaluate pavement surface conditions, but most of these are either labour-intensive tasks or require costly instruments. This
Marco Guerrieri +3 more
doaj +1 more source

