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09/13/2023
Bayesian jackknife empirical likelihood with complex surveys
We introduce a novel approach called the Bayesian Jackknife empirical li...
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09/11/2023
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry
The decision-making process in real-world implementations has been affec...
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07/10/2023
Pathway toward prior knowledge-integrated machine learning in engineering
Despite the digitalization trend and data volume surge, first-principles...
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04/19/2023
Application of attention-based Siamese composite neural network in medical image recognition
Medical image recognition often faces the problem of insufficient data i...
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03/17/2023
Jackknife empirical likelihood with complex surveys
We propose the so-called jackknife empirical likelihood approach for the...
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07/15/2022
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
The development of brain-computer interfaces (BCI) has facilitated our s...
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05/30/2022
A hybrid-model approach for reducing the performance gap in building energy forecasting
The performance gap between predicted and actual energy consumption in t...
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04/19/2022
A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)
Vision-based tactile sensors have been widely studied in the robotics fi...
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03/14/2022
Introducing causal inference in the energy-efficient building design process
"What-if" questions are intuitively generated and commonly asked during ...
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08/30/2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning
Data-driven models created by machine learning gain in importance in all...
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12/17/2020
PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection
Visual data in autonomous driving perception, such as camera image and L...
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08/01/2020
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
We propose a simple, fast, and flexible framework to generate simultaneo...
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07/17/2019
Energy-Efficient Power Control of Train-ground mmWave Communication for High Speed Trains
High speed train system has proven to be a very flexible and attractive ...
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05/14/2019
ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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04/05/2019