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
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Multi-Source Motion Inputs and FA-TA-BiLSTM for Lower-Limb Joint Angle Prediction. [PDF]
Yang C +5 more
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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
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Association between the skeletal muscle-to-visceral fat area ratio and liver fibrosis risk in patients with non-alcoholic fatty liver disease: a cross-sectional study. [PDF]
Liu J +8 more
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• First demonstration of functional RNAi in the beet leafhopper, Neoaliturus tenellus, using both dsRNA microinjection and star polycation nanoparticle‐mediated topical spray delivery.•Microinjection achieved over 90% knockdown of Gus and Pum3, revealing gene‐specific fitness effects on survival and fecundity in beet leafhopper.•Nanoparticle‐mediated ...
Jinlong Han +8 more
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Trust Beyond Accuracy: Conformal Uncertainty Quantification Reveals the Generalization Gap in Polymer Glass Transition Temperature Prediction. [PDF]
Akdoğan M.
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High altitudes are challenging for the animals that inhabit these environments. The Xizang plateau frog (Nanorana parkeri) survives in high‐altitude environments through a synergistic strategy of metabolic remodeling and protein expression adjustment to optimize energy efficiency and enhance cellular protection.
Xuejing Zhang +6 more
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Improving corrosion depth estimation in buried pipelines using SMOTE-integrated machine and deep learning models. [PDF]
AlOmar MK +6 more
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Metabolome Diversity Enhances Resistance of Intertidal Clams to Thermal Stress
Meretrix species are widely distributed intertidal bivalves in China with significant ecological and economic importance, which are sensitive to thermal stress. Our results showed that thermal environments of clam habitats shaped metabolome diversity, which can enhance the resistance of intertidal clams to thermal stress.
Zhi Hu +5 more
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An Interpretable Machine Learning Approach to Ecologically Characterize Soil Carbon and Structure From Multi-Kingdom Microbiome, Texture and Climate. [PDF]
Jeanne T, Prunier J, Hogue R, Droit A.
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