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Found 12 papers, 0 papers with code
Generalization Issues in Experiments Involving Multidimensional Decisions
Can the causal effects estimated in an experiment be generalized to real-world scenarios?
Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database
Ground-motion model (GMM) is the basis of many earthquake engineering studies.
Battery Cloud with Advanced Algorithms
A Battery Cloud or cloud battery management system leverages the cloud computational power and data storage to improve battery safety, performance, and economy.
Analysis and optimization of a novel energy storage flywheel for improved energy capacity
It is found that the shaftless flywheel design approach can double the energy density level when compared to typical designs.
Voltage-Based State of Charge Correction at Charge-End
The amount of correction is a function of maximum cell voltage and the charge current C-rate.
Time-Domain Doppler Biomotion Detections Immune to Unavoidable DC Offsets
In the past decades, continuous Doppler radar sensor-based bio-signal detections have attracted many research interests.
Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering
We propose a data-driven method to detect battery thermal anomaly based on comparing shape-similarity between thermal measurements.
A Combination 5-DOF Active Magnetic Bearing For Energy Storage Flywheel
The finite element method (FEM) is too computationally intensive for early-stage analysis.
A review of flywheel energy storage systems: state of the art and opportunities
Thanks to the unique advantages such as long life cycles, high power density, minimal environmental impact, and high power quality such as fast response and voltage stability, the flywheel/kinetic energy storage system (FESS) is gaining attention recently.
Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks
The presence of residual and dense neural networks which greatly promotes the development of image Super-Resolution(SR) have witnessed a lot of impressive results.
Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis
Futhermore, we abandoned this paper due to its limitation only applied on medical images.
