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Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions
Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques
A multi-objective optimization and multi-attribute decision-making analysis for technical-thermodynamic-economic evaluation considering the rock damage on production performance of hot dry rock geothermal resources
A multi-objective optimization and multi-attribute decision-making analysis for technical-thermodynamic-economic evaluation considering the rock damage on production performance of hot dry rock geothermal resources
Microporous Sulfur–Carbon Materials with Extended Sodium Storage Window
Microporous Sulfur–Carbon Materials with Extended Sodium Storage Window
Effects of pore water-rock reaction on heat extraction from the karst geothermal reservoirs
Effects of pore water-rock reaction on heat extraction from the karst geothermal reservoirs: Based on the dual media model
Experimental characterization of damage during geothermal production of hot dry rocks
Experimental characterization of damage during geothermal production of hot dry rocks: Comprehensive effects of the damage-elastic deformation on conductivity evolution
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
Comparing the Active, Functional, and Passive Range of Motion of Finger Joints Using Dynamic Measurement
Comparing the Active, Functional, and Passive Range of Motion of Finger Joints Using Dynamic Measurement
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators
Editorial
Editorial
CCTR
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
Temporal stability of the impact of factors determining drivers’ injury severities across traffic barrier crashes in mountainous regions
Temporal stability of the impact of factors determining drivers’ injury severities across traffic barrier crashes in mountainous regions
Maritime accidents in the Yangtze River
Maritime accidents in the Yangtze River: A time series analysis for 2011–2020
Dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck
Dense 3D pressure discomfort threshold (PDT) map of the human head, face and neck: A new method for mapping human sensitivity
Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances
Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances
Biotrickling Filtration for the Reduction of N<sub>2</sub>O Emitted during Wastewater Treatment
Biotrickling Filtration for the Reduction of N2O Emitted during Wastewater Treatment: Results from a Long-Term In Situ Pilot-Scale Testing
Roles of the grain-boundary characteristics and distributions on hydrogen embrittlement in face-centered cubic medium-entropy V<sub>x</sub>Cr<sub>1-x</sub>CoNi alloys
Roles of the grain-boundary characteristics and distributions on hydrogen embrittlement in face-centered cubic medium-entropy VxCr1-xCoNi alloys
The Bulk van der Waals Layered Magnet CrSBr is a Quasi-1D Material
The Bulk van der Waals Layered Magnet CrSBr is a Quasi-1D Material
Exploring weather-related factors affecting the delay caused by traffic incidents
Exploring weather-related factors affecting the delay caused by traffic incidents: Mitigating the negative effect of traffic incidents
Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks
Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks
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