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09/05/2023
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Existing approaches to automatic data transformation are insufficient to...
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03/18/2023
Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks
The ability to classify images accurately and efficiently is dependent o...
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02/18/2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
Deep neural networks have revolutionized the field of supervised learnin...
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12/18/2022
A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation
This work proposes a framework developed to generalize Critical Heat Flu...
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10/21/2022
A critical review of cyber-physical security for building automation systems
Modern Building Automation Systems (BASs), as the brain that enables the...
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09/05/2022
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease
Automated anomaly detection from medical images, such as MRIs and X-rays...
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11/19/2020
A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-based Image Representation
Compressed sensing (CS) has become a popular field in the last two decad...
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06/05/2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging
Object detection, segmentation and classification are three common tasks...
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03/01/2018
