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Context-aware quality assessment of structured and unstructured data
(2020-07)
Data analysis is a crucial process in the field of data science that extracts useful information from any form of data. The ease of access and maintenance makes structured data the most popular choice among many organizations ...
Data-driven modeling and analysis for cardiovascular disease risk prediction and reduction
(2021-05)
In recent decades, cardiovascular disease (CVD) has become the leading cause of death in most countries of the world. Since many types of CVD could be preventable by modifying lifestyle behaviors, the objective of this ...
Model-data fusion in digital twins of large scale dynamical systems
(2022-07)
Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ...
New stochastic pore-scale simulation and machine learning approach to predicting permeability and tortuosity of heterogeneous porous media
(2023-05)
A new 3D stochastic pore-scale simulation approach was introduced in this study to investigate how stochastic pore connectivity impacts the permeability and hydraulic tortuosity of heterogeneous porous media. Multiple ...
Mechanical characterization of heterogeneous hyperelastic membrane using inverse methods
(2021-12)
Many soft biological tissues are heterogeneous, having different properties at different locations. Characterizing these tissues is very important for virtually testing potential medical technologies or protocols. Some ...
Interpreting natural language processing (NLP) models and lifting their limitations
(2021-07)
There have been many advances in the artificial intelligence field due to the emergence of deep learning and big data. In almost all sub-fields, artificial neural networks have reached or exceeded human-level performance. ...
Analysis of time series forecasting in application to solar energy harvest
(2022-05)
The promised future applications in solar energy harvest have been remarkably recognized. However, the hourly forecasting of normal solar irradiance (NSI) outputs is considered a problem due to the dynamic nature of ...
Application of Raman and infrared microscopy coupled with chemometrics for the forensic examination of automotive clear coats and paint smears
(2022-07)
Modern automotive paints typically use thinner undercoat and color coat layers protected by a thicker clear coat layer. All too often, a clear coat is the only layer of automotive paint left at the crime scene. Current ...
Polynomials with small elliptic Mahler measure via genetic algorithms
(2020-05)
For a minimal polynomial $f$ we denote by $M(f)$ the Mahler measure of the roots of $f$. The classical Lehmer conjecture is concerned with finding a definitive lower bound for $M(f)$. Lehmer's polynomial is known to have ...
Studying employee absenteeism due to health-related factors: A data-science approach
(2022-07)
United States employers are spending approximately $950 billion on healthcare benefits, and these costs are impeding their ability to compete in their respective markets. Furthermore, these costs do not include employee ...