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Cloud-based battery failure prediction and early warning using multi-source signals and machine learning
Application of additive manufacturing in vascular self-healing cementitious materials
Modelling of coupled reservoir and wellbore for energy transition
On developers’ practices for hazard diagnosis in machine learning systems
Big slopes, little data: data-driven nowcasting of deep-seated landslide deformation
Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm
Inverse-designed growth-based cellular metamaterials
SJORS: A Semantic Recommender System for Journalists
Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments
Evaluating classifiers in SE research: the ECSER pipeline and two replication studies
Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses
Digitization of chemical process flow diagrams using deep convolutional neural networks
SoK: Explainable Machine Learning for Computer Security Applications
What factors contribute to the acceptance of artificial intelligence? A systematic review
Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
Data-driven corrosion inhibition efficiency prediction model incorporating 2D–3D molecular graphs and inhibitor concentration
Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions
Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Development of a hydrate risk assessment tool based on machine learning for CO
2
storage in depleted gas reservoirs
Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data
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