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GRACE and GRACE Follow-On Gravity Observations of Intermediate-Depth Earthquakes Contrasted With Those of Shallow Events
GRACE and GRACE Follow-On Gravity Observations of Intermediate-Depth Earthquakes Contrasted With Those of Shallow Events
A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective
A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective: Challenges and prospects
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
Evaluating the safety and efficiency impacts of forced lane change with negative gaps based on empirical vehicle trajectories
The influence of tow tackiness on tow pull-up during the manufacturing of a composite pressure vessel
The influence of tow tackiness on tow pull-up during the manufacturing of a composite pressure vessel
Self-healing of cementitious materials using sustainable cenosphere-based manufactured aggregate
Self-healing of cementitious materials using sustainable cenosphere-based manufactured aggregate
How are people coping with working from home during the COVID-19 pandemic?
How are people coping with working from home during the COVID-19 pandemic?: Experiences from the Netherlands and South Korea
A Novel Composite Sensor for UHF Partial Discharge and Gas State Measurement in GIS
A Novel Composite Sensor for UHF Partial Discharge and Gas State Measurement in GIS
Advancing the local climate zones framework
Advancing the local climate zones framework: A critical review of methodological progress, persisting challenges, and future research prospects
ElasticDNN
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge
FedViT
FedViT: Federated continual learning of vision transformer at edge
Integrating the flow regime and water quality effects into a niche-based metacommunity dynamics model for river ecosystems
Integrating the flow regime and water quality effects into a niche-based metacommunity dynamics model for river ecosystems
A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter
A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter
A Self-Bias-Flip with Charge Recycle Interface Circuit with No External Energy Reservoir for Piezoelectric Energy Harvesting Array
A Self-Bias-Flip with Charge Recycle Interface Circuit with No External Energy Reservoir for Piezoelectric Energy Harvesting Array
Silicon heterojunction solar cells with up to 26.81% efficiency achieved by electrically optimized nanocrystalline-silicon hole contact layers
Silicon heterojunction solar cells with up to 26.81% efficiency achieved by electrically optimized nanocrystalline-silicon hole contact layers
A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks
A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks
Recognition of Unsafe Onboard Mooring and Unmooring Operation Behavior Based on Improved YOLO-v4 Algorithm
Recognition of Unsafe Onboard Mooring and Unmooring Operation Behavior Based on Improved YOLO-v4 Algorithm
An Efficient Game-Theoretic Planner for Automated Lane Merging with Multi-Modal Behavior Understanding
An Efficient Game-Theoretic Planner for Automated Lane Merging with Multi-Modal Behavior Understanding
Application of game theory in risk management of urban natural gas pipelines
Application of game theory in risk management of urban natural gas pipelines
A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter
A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
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