Results 41 to 50 of about 30,333,265 (134)

Urban Functional Area Division Based on Cell Tower Classification

IEEE Access, 2019
Each city can be divided into different functional areas for different purposes, such as commercial areas, residential areas, leisure areas, office areas, etc.
Yuewei Wu, Yuanyuan Qiao, Jie Yang
doaj   +1 more source

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua, Cong Zhang, Wen Xie, Xiaomin Jin   +3 more
doaj   +1 more source

Network analysis: a brief overview and tutorial

Health Psychology and Behavioral Medicine, 2018
Objective: The present paper presents a brief overview on network analysis as a statistical approach for health psychology researchers. Networks comprise graphical representations of the relationships (edges) between variables (nodes).
D. Hevey
semanticscholar   +1 more source

Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department

BMC Public Health, 2021
Background Physicians do not prescribe opioid analgesics for pain treatment equally across groups, and such disparities may pose significant public health concerns.
Lisa A. Keister, Chad Stecher, Brian Aronson, William McConnell, Joshua Hustedt, James W. Moody   +5 more
doaj   +1 more source

Biological network analysis with deep learning

Briefings Bioinform., 2020
Recent advancements in experimental high-throughput technologies have expanded the availability and quantity of molecular data in biology. Given the importance of interactions in biological processes, such as the interactions between proteins or the ...
Giulia Muzio, Leslie O’Bray, Karsten M. Borgwardt   +2 more
semanticscholar   +1 more source

Visibility graph analysis for educational data: potentials and a case study of predicting at-risk online students

Scientific Reports
This paper introduces visibility graph analysis as a supplementary approach for examining educational time series data, particularly in online learning environments.
Hadis Azizi, Mohammad Sadra Amini, Sadegh Sulaimany, Aso Mafakheri   +3 more
doaj   +1 more source

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

Psychotherapy and Psychosomatics, 2019
Background: Network analysis (NA) is an analytical tool that allows one to explore the map of connections and eventual dynamic influences among symptoms and other elements of mental disorders. In recent years, the use of NA in psychopathology has rapidly
A. Contreras, Inés Nieto, C. Valiente, Regina Espinosa, C. Vázquez   +4 more
semanticscholar   +1 more source

N-Acetylcysteine, N-Acetylcysteine Amide, and Thioredoxin Mimetic Peptides Regenerate Mercaptoalbumin and Exhibit Antioxidant Activity

Antioxidants
Albumin (HSA) is the most abundant circulating protein and plays a pivotal role in maintaining the redox state of the plasma. Three HSA proteoforms have been identified based on the redox state of cysteine 34.
Sonia Eligini, Marco Munno, Gloria Modafferi, Daphne Atlas, Cristina Banfi   +4 more
doaj   +1 more source

GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

Frontiers in Human Neuroscience, 2015
Recent studies have suggested that the brain’s structural and functional networks (i.e., connectomics) can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion and functional MRI) and further characterized by graph theory.
Jinhui Wang, Xindi Wang, Mingrui Xia, Xuhong Liao, A. Evans, Yong He   +5 more
semanticscholar   +1 more source

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal

Sensors, 2022
State-of-the-art healthcare technologies are incorporating advanced Artificial Intelligence (AI) models, allowing for rapid and easy disease diagnosis.
Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, Se Jin Park, Md Azam Hossain   +4 more
doaj   +1 more source