A self-normalization and support vector regression based approach for detecting structural change points in time series. [PDF]
Xie N.
europepmc +1 more source
Japan is pursuing power source decarbonization and is thus reducing fuel‐based thermal power generation while promoting renewable energy resource use. Given the expected power fluctuations, this transition will require novel voltage management and control methods.
Satoshi Uemura +2 more
wiley +1 more source
Evaluation of standard, black-box, and bayesian RSM-SVR models in the semi-arid area of south-eastern Iran for predicting soil chemical properties. [PDF]
Ahangar AG, Piri J.
europepmc +1 more source
Longitudinal maternal hemodynamics in high‐risk pregnancies with different subtypes of pre‐eclampsia
ABSTRACT Objective To evaluate maternal cardiac adaptation during pregnancy by comparing longitudinal hemodynamic profiles between women identified as high risk for preterm pre‐eclampsia (PE) who subsequently developed preterm PE, term PE or remained unaffected, as well as low‐risk women.
J. Lin +10 more
wiley +1 more source
Interpretable ESG-sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment. [PDF]
Mishra S +4 more
europepmc +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source
From Cure to Complexity: Post-SVR Liver and Metabolic Trajectories in Diabetic Patients. [PDF]
Asero C +14 more
europepmc +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Antiviral treatment and statin use and risk of decompensated cirrhosis in patients with hepatitis C: a time-dependent analysis of a retrospective cohort study. [PDF]
Brown KA +8 more
europepmc +1 more source
Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution
ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu +8 more
wiley +1 more source

