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04/16/2023
Characterizing the load profile in power grids by Koopman mode decomposition of interconnected dynamics
Electricity load forecasting is crucial for effectively managing and opt...
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03/20/2023
MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry
We propose a fold change visualization that demonstrates a combination o...
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03/16/2023
Contra-Analysis for Determining Negligible Effect Size in Scientific Research
Scientific experiments study interventions that show evidence of an effe...
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12/17/2022
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study
The outburst of COVID-19 in late 2019 was the start of a health crisis t...
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10/10/2022
Contra-Analysis: Prioritizing Meaningful Effect Size in Scientific Research
At every phase of scientific research, scientists must decide how to all...
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05/24/2022
The Least Difference in Means: A Statistic for Effect Size Strength and Practical Significance
With limited resources, scientific inquiries must be prioritized for fur...
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05/02/2022
Using Machine Learning to Evaluate Real Estate Prices Using Location Big Data
With everyone trying to enter the real estate market nowadays, knowing t...
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01/04/2022
The Most Difference in Means: A Statistic for Null and Near-Zero Results
Two-sample p-values test for statistical significance. Yet p-values cann...
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08/01/2021
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
Networks are landmarks of many complex phenomena where interweaving inte...
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08/29/2020
Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
The second smallest eigenvalue of the Laplacian matrix is determinative ...
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10/02/2019
A new method for quantifying network cyclic structure to improve community detection
A distinguishing property of communities in networks is that cycles are ...
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03/04/2019