Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of hazardous materials"
DOI: 10.1016/j.jhazmat.2020.124753
Abstract: Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) has become a major public concern in closed indoor environments, such as subway stations. Forecasting platform PM2.5 concentrations is significant in developing early warning systems, and… read more here.
Keywords: risk levels; transfer learning; ventilation; health risk ... See more keywords
How about a risky play? Investigation of risk levels desired by children and perceived mother monitoring
Sign Up to like & getrecommendations! Published in 2019 at "Early Child Development and Care"
DOI: 10.1080/03004430.2019.1646740
Abstract: ABSTRACT The aim of this study was to investigate the risk levels desired by children aged 4–5 years and their perceived status of mother monitoring. One hundred and three children aged 4–5 years were participated… read more here.
Keywords: risk levels; mother monitoring; risk; desired children ... See more keywords
Investigating spatiotemporal traffic dynamics toward conflict risk levels using trajectory data in heterogeneous traffic conditions.
Sign Up to like & getrecommendations! Published in 2025 at "Traffic injury prevention"
DOI: 10.1080/15389588.2025.2541269
Abstract: OBJECTIVE This study aimed to identify dynamic spatiotemporal traffic factors influencing conflict risk levels on National Highways under heterogeneous traffic conditions in India. The research addresses gaps by capturing vehicle interactions using high-resolution UAV-based trajectory… read more here.
Keywords: risk levels; risk; conflict risk; heterogeneous traffic ... See more keywords
Wellbore risk levels prediction based on BO-CatBoost model and rough set theory
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/adfc8e
Abstract: To address the issues of high computational complexity and insufficient prediction accuracy in traditional wellbore stability prediction methods, this paper employs an approach that integrates rough set theory (RST) with machine learning (ML). First, RST… read more here.
Keywords: risk levels; prediction; model; catboost model ... See more keywords
Unsupervised learning approach for benchmark models to identify construction projects with high accident risk levels
Sign Up to like & getrecommendations! Published in 2025 at "Engineering, Construction and Architectural Management"
DOI: 10.1108/ecam-06-2024-0815
Abstract: PurposeThe construction sector is highly prone to accidents, traditionally assessed using subjective qualitative measurements. To enhance the allocation of risk management resources and identify high-risk projects during pre-construction, an objective and quantitative approach is necessary.… read more here.
Keywords: methodology; risk levels; risk; accident ... See more keywords
Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3525757
Abstract: Flash flood disasters pose a significant threat to human life and property, making accurate prediction of risk levels crucial for disaster prevention and mitigation. This study introduces an innovative artificial intelligence approach based on knowledge… read more here.
Keywords: disaster; risk levels; risk; graph neural ... See more keywords
Establishment of risk quality control charts based on risk management strategies
Sign Up to like & getrecommendations! Published in 2022 at "Annals of Clinical Biochemistry"
DOI: 10.1177/00045632221086468
Abstract: Background Risk management strategies have been proposed for applications in clinical laboratories to reduce patient risks; however, effective and visual risk-monitoring tools are currently lacking in medical laboratories. In this study, we constructed a risk… read more here.
Keywords: risk quality; risk management; risk levels; risk ... See more keywords
Time for change: Transitions between HIV risk levels and determinants of behavior change in men who have sex with men
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0259913
Abstract: As individual sexual behavior is variable over time, the timing of interventions might be vital to reducing HIV transmission. We aimed to investigate transitions between HIV risk levels among men who have sex with men… read more here.
Keywords: risk; hiv risk; transitions hiv; risk levels ... See more keywords
Use of hospital care services by chronic patients according to their characteristics and risk levels by adjusted morbidity groups
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262666
Abstract: Background In-hospital care of chronic patients is based on their characteristics and risk levels. Adjusted morbidity groups (AMG) is a population stratification tool which is currently being used in Primary Care but not in Hospitals.… read more here.
Keywords: chronic patients; risk levels; risk; hospital ... See more keywords
Correlation among Poincare plot and traditional heart rate variability indices in adults with different risk levels of metabolic syndrome: a cross-sectional approach from Southern India
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Basic and Clinical Physiology and Pharmacology"
DOI: 10.1515/jbcpp-2022-0208
Abstract: Abstract Objectives Heart rate variability (HRV) is an important marker of cardiac autonomic modulation. Metabolic syndrome (MetS) can alter cardiac autonomic modulation, raising the risk of cardiovascular disease (CVD). Poincaré plot analysis (PPA) is a… read more here.
Keywords: plot; hrv; risk levels; different risk ... See more keywords
Structural and functional characteristics of soil microbial communities in response to different ecological risk levels of heavy metals
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2022.1072389
Abstract: Objective The potential ecological risk index (RI) is the most commonly used method to assess heavy metals (HMs) contamination in soils. However, studies have focused on the response of soil microorganisms to different concentrations, whereas… read more here.
Keywords: ecological risk; microbial community; risk levels; heavy metals ... See more keywords