The regulatory warning model of regional product quality based on the back-propagation artificial neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04188-8
Abstract: Accidents of product quality occur in food, medicine and industrial products, posing a major risk to consumers. Prediction and control of accidents spread are difficult, mainly due to the complexity of the interaction between stakeholders… read more here.
Keywords: product; regional product; product quality; warning model ... See more keywords
An early warning model for the stuck-in medical drilling process based on the artificial fish swarm algorithm and SVM
Sign Up to like & getrecommendations! Published in 2021 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-021-07344-z
Abstract: To avoid the considerable challenges and losses caused by stuck drilling to normal drilling operations, this article analyses the mechanism of stuck drilling, then combines the artificial fish swarm algorithm (AFSA) and support vector machine… read more here.
Keywords: warning model; artificial fish; drilling; model ... See more keywords
A Dynamic Early Warning Model for Flash Floods Based on Rainfall Pattern Identification
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Disaster Risk Science"
DOI: 10.1007/s13753-024-00593-3
Abstract: Flash floods are one of the most devastating natural hazards in mountainous and hilly areas. In this study, a dynamic warning model was proposed to improve the warning accuracy by addressing the problem of ignoring… read more here.
Keywords: flash floods; model; rainfall patterns; warning model ... See more keywords
A Dynamic Landslide Warning Model Based on Grey System Theory
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3536888
Abstract: Landslides are among the most frequent and destructive geological disasters, causing significant loss of life and property. Research on landslide prediction is crucial for minimizing disaster-related losses, ensuring public safety, and developing reliable early warning… read more here.
Keywords: dynamic landslide; model based; model; landslide warning ... See more keywords
A Price Risk Early Warning Model for Agricultural Products Based on the Integration of Deep Learning and Knowledge Graphs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3609817
Abstract: Agricultural price volatility poses significant challenges for food security, market regulation, and rural economic stability. To address these issues, this study proposes an integrated early warning model that combines the representational capabilities of deep learning… read more here.
Keywords: deep learning; knowledge; price; early warning ... See more keywords
A Data-Driven Integrated Safety Risk Warning Model Based on Deep Learning for Civil Aircraft
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3204224
Abstract: With the extensive application of sensor technology, airlines accumulate a lot of flight data during fleet operations. Quick access recorder (QAR) is an important basis for aircraft state estimation and safety assessment, and it records… read more here.
Keywords: risk warning; aircraft; risk; warning model ... See more keywords
Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3019050
Abstract: Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic accidents. Due to the complex and dynamic nature of traffic environments, the warning algorithms in advanced driving assistant systems (ADAS) often misjudge… read more here.
Keywords: environment; collision warning; warning model; model ... See more keywords
Acute Leukemia Warning Model Combined CBC and CPD Data Based on Machine Learning
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Laboratory Hematology"
DOI: 10.1111/ijlh.14538
Abstract: Early diagnosis plays a crucial role in improving the survival rate of acute leukemia (AL) patients. This study aims to develop a warning model for the detection of acute leukemia (AL) using complete blood count… read more here.
Keywords: cpd; leukemia; warning model; leukemia warning ... See more keywords
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety
Sign Up to like & getrecommendations! Published in 2025 at "Structural Health Monitoring"
DOI: 10.1177/14759217251358537
Abstract: Dam safety monitoring and automatic warning have become critically important with the increasing frequency of extreme weather events caused by climate change. This study proposes a spatiotemporal dam joint warning model enhanced by an attention… read more here.
Keywords: attention; dam safety; model; uncertainty ... See more keywords
Predicting the potentially exacerbation of severe viral pneumonia in hospital by MuLBSTA score joint CD4 + and CD8 +T cell counts: construction and verification of risk warning model
Sign Up to like & getrecommendations! Published in 2024 at "BMC Pulmonary Medicine"
DOI: 10.1186/s12890-024-03073-y
Abstract: Purpose This study mainly focuses on the immune function and introduces CD4^+, CD8^+ T cells and their ratios based on the MuLBSTA score, a previous viral pneumonia mortality risk warning model, to construct an early warning… read more here.
Keywords: pneumonia; risk; viral pneumonia; warning model ... See more keywords
An estimative (warning) model for recognition of pandemic nature of virus infections
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Nonlinear Sciences and Numerical Simulation"
DOI: 10.1515/ijnsns-2020-0154
Abstract: Abstract A simple SIS-type mathematical model of infection expansion is presented and analysed with focus on the case SARS-Cov-2. It takes into account two processes, namely, infection and recovery/decease characterised by two parameters in total:… read more here.
Keywords: infection; estimative warning; model; recovery decease ... See more keywords