Widespread Reductions of Spontaneous Neurophysiological Activity in Leber's Disease—An Application of EEG Source Current Density Reconstruction

K Jonak - Brain Sciences, 2020 - mdpi.com
Leber's hereditary optic neuropathy (LHON) is a rare, maternally inherited genetic disease
caused by a mutation of mitochondrial DNA. Classical descriptions have highlighted …

ICGRM: integrative construction of genomic relationship matrix combining multiple genomic regions for big dataset

D Jiang, C Xin, J Ye, Y Yuan, M Fang - BMC bioinformatics, 2019 - Springer
Background Genomic prediction is an advanced method for estimating genetic values,
which has been widely accepted for genetic evaluation in animal and disease-risk prediction …

Bayesian optimization in multi-information source and large-scale systems

SF Ghoreishi - 2019 - search.proquest.com
The advancements in science and technology in recent years have extended the scale of
engineering problems. Discovery of new materials with desirable properties, drug discovery …

Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven Sampling

I Sánchez-Borrego, MM Rueda, H Mullo - Mathematics, 2020 - mdpi.com
Respondent-driven sampling (RDS) is a snowball-type sampling method used to survey
hidden populations, that is, those that lack a sampling frame. In this work, we consider the …

Angular Correlation Using Rogers-Szegő-Chaos

C Schmid, KJ DeMars - Mathematics, 2020 - mdpi.com
Polynomial chaos expresses a probability density function (pdf) as a linear combination of
basis polynomials. If the density and basis polynomials are over the same field, any set of …

Stochastic QoE-aware optimization of multisource multimedia content delivery for mobile cloud

M Saleem, Y Saleem, MF Hayat - Cluster Computing, 2020 - Springer
The increasing popularity of mobile video streaming in wireless networks has stimulated
growing demands for efficient video streaming services. However, due to the time-varying …

Hardware-software co-design to accelerate neural network applications

M Imani, R Garcia, S Gupta, T Rosing - ACM Journal on Emerging …, 2019 - dl.acm.org
Many applications, such as machine learning and data sensing, are statistical in nature and
can tolerate some level of inaccuracy in their computation. A variety of designs have been …

Bayesian Calibration of Simulation-Based Analysis of Transportation Systems

M Yousefi, SF Ghoreishi - International Conference on …, 2022 - ascelibrary.org
In order to ensure that a car-following model's output is as close to reality as possible, the
model's parameters must be calibrated carefully. As simulation models are computationally …

A user-specific approach for comfortable application of advanced 3D CAD/CAM technique in dental environments using the harmonic series noise model

ES Song, YJ Lim, B Kim - Applied Sciences, 2019 - mdpi.com
Recently, there has been a focus on improving the user's emotional state by providing high-
quality sound beyond noise reduction against industrial product noise. Three-dimensional …

Data reuse for accelerated approximate warps

D Peroni, M Imani, H Nejatollahi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Many data-driven applications, including computer vision, machine learning, speech
recognition, and medical diagnostics show tolerance to computation error. These …