Results 251 to 260 of about 155,602 (285)
Some of the next articles are maybe not open access.
Synthesis of Characteristic Descriptors for the Detection of Distress
2020 International Conference on Biomedical Innovations and Applications (BIA), 2020The success of automated distress detection to a large extent depends on the proper choice of machine learning methods and the appropriate representation of data. In the present study, we evaluate five methods for the synthesis of characteristic descriptors that are appropriate in automated distress detection. These allow efficient data representations
Ginka Marinova +2 more
openaire +1 more source
Facial Expression Analysis for Distress Detection
2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2018Emotions are an incredibly important aspect of human life and basic research on emotions of the past few decades has produced several discoveries that have led to important real world applications. Facial expressions project our true emotions to others and add the real intent to the words we say.
Priyanka Nair, Subha V.
openaire +1 more source
Financial Distress Detection and Interpretation with Semi-supervised System
2021Financial distress prediction is of great importance for companies to take timely measures. It is also useful for banks and investors to avoid potential risk. Mining potential distressful companies in this fast-changing business environment is crucial for timely intervention, but it is also very challenging. Because in real scenario, only few companies
Xiaoqing Zhu +2 more
openaire +1 more source
1987
Fetal distress represents fetal asphyxia or lack of oxygen. Fetal distress during labor can be detected by fetal monitoring. Electrodes are applied on the mother’s abdomen and will detect fetal distress as slowing of the fetal heart rate.
openaire +1 more source
Fetal distress represents fetal asphyxia or lack of oxygen. Fetal distress during labor can be detected by fetal monitoring. Electrodes are applied on the mother’s abdomen and will detect fetal distress as slowing of the fetal heart rate.
openaire +1 more source
Journal of Advanced Nursing, 2012
AbstractAim. To report the development and psychometric testing of the Moral Distress Thermometer. The Moral Distress Thermometer is a new screening tool to measure moral distress in nurses who practise in the hospital setting.Background. Moral distress occurs when one knows the ethically correct thing to do, but is prevented from acting on that ...
Lucia D, Wocial, Michael T, Weaver
openaire +2 more sources
AbstractAim. To report the development and psychometric testing of the Moral Distress Thermometer. The Moral Distress Thermometer is a new screening tool to measure moral distress in nurses who practise in the hospital setting.Background. Moral distress occurs when one knows the ethically correct thing to do, but is prevented from acting on that ...
Lucia D, Wocial, Michael T, Weaver
openaire +2 more sources
Pavement distress detection and classification using a Genetic Algorithm
2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2011Over the years, Automated Image Analysis Systems (AIAS) have been developed for pavement surface analysis and management. Pavement distress segmentation is a key issue throughout the entire process of analyses. In this paper, an adaptive approach for pavement distress segmentation based on Genetic Algorithms is proposed.
Ezzatollah Salari, X. Yu
openaire +1 more source
Pavement Distress Detection Based on Nonsubsampled Contourlet Transform
2008 International Conference on Computer Science and Software Engineering, 2008Automatic recognition of road distresses has been a hot topic since it reduces economic loses before cracks and potholes become too severe. However, weak information of road distress and computing complexity make it difficult to detect road distress effectively.
Changxia Ma, Chunxia Zhao, Yingkun Hou
openaire +1 more source
A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress
IEEE Transactions on Affective ComputingPrevious studies have solely focused on establishing Machine Learning (ML) models for automated detection of stress arousal. However, these studies do not recognize stress appraisal and presume stress is a negative mental state. Yet, stress can be classified according to its influence on individuals; the way people perceive a stressor determines ...
Mohamad Awada +4 more
openaire +2 more sources
Image based Road distress detection
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 2021Gayathri Lakshmi Ch +2 more
openaire +1 more source