Browsing by Subject "Predictive models"
Now showing items 1-6 of 6
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An Attack-Resistant Trust Model Based on Multidimensional Trust Metrics in Underwater Acoustic Sensor Network
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Underwater acoustic sensor networks (UASNs) have been widely used in many applications where a variable number of sensor nodes collaborate with each other to perform monitoring tasks. A trust model plays an important role ... -
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: Application to children with asthma
( BioMed Central Ltd. , 2019 , Article)Background: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models ... -
New Deep Learning-Based Approach for Wind Turbine Output Power Modeling and Forecasting
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)An intelligent machine learning-based method is developed in this paper for modeling and prediction of the wind turbine (WT) output power. The developed technique makes use of the advanced machine learning models for ... -
Predicting emergency department utilization among children with asthma using deep learning models
( Elsevier , 2022 , Article)Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ... -
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
( BioMed Central Ltd , 2022 , Article)Background: Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive ... -
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Despite AI’s significant growth, its “black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical ...