Hearing loss versus vestibular loss as contributors to cognitive dysfunction
PF Smith - Journal of neurology, 2022 - Springer
In the last 5 years, there has been a surge in evidence that hearing loss (HL) may be a risk
factor for cognitive dysfunction, including dementia. At the same time, there has been an …
factor for cognitive dysfunction, including dementia. At the same time, there has been an …
Challenges in translational machine learning
Abstract Machine learning (ML) algorithms are increasingly being used to help implement
clinical decision support systems. In this new field, we define as “translational machine …
clinical decision support systems. In this new field, we define as “translational machine …
Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability
Formation damage poses a widespread challenge in the oil and gas industry, leading to
diminished permeability, flow rates, and overall well productivity. Acidizing is a commonly …
diminished permeability, flow rates, and overall well productivity. Acidizing is a commonly …
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
The accurate estimation of resilient modulus (MR) of compacted subgrade soil is imperative
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
[HTML][HTML] Machine learning prediction of the mechanical properties of γ-TiAl alloys produced using random forest regression model
S Kwak, J Kim, H Ding, X Xu, R Chen, J Guo… - Journal of Materials …, 2022 - Elsevier
The mechanical properties of a directionally solidified (DS) TiAl alloy were predicted through
a random forest regression (RFR) machine learning algorithm. The prediction results were …
a random forest regression (RFR) machine learning algorithm. The prediction results were …
Evaluation of random forest regression and multiple linear regression for predicting indoor fine particulate matter concentrations in a highly polluted city
Background Indoor and outdoor fine particulate matter (PM 2.5) are both leading risk factors
for death and disease, but making indoor measurements is often infeasible for large study …
for death and disease, but making indoor measurements is often infeasible for large study …
Multitrait machine‐and deep‐learning models for genomic selection using spectral information in a wheat breeding program
Prediction of breeding values is central to plant breeding and has been revolutionized by the
adoption of genomic selection (GS). Use of machine‐and deep‐learning algorithms applied …
adoption of genomic selection (GS). Use of machine‐and deep‐learning algorithms applied …
A comparison of random forest and support vector machine approaches to predict coal spontaneous combustion in gob
C Lei, J Deng, K Cao, Y **ao, L Ma, W Wang, T Ma… - Fuel, 2019 - Elsevier
The accurate prediction of coal temperature plays a vital role in preventing and controlling
the spontaneous combustion of coal in coal mines. In this study, a long-term in-situ …
the spontaneous combustion of coal in coal mines. In this study, a long-term in-situ …
Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI …
Background In the era of computer-assisted diagnostic tools for various brain diseases,
Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the …
Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the …
Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China
S Chen, S Yao - Ecological Informatics, 2023 - Elsevier
To reduce land conflicts and improve the coordination of human activities and land use, it is
crucial to conduct thorough research on sustainable land management and optimization. In …
crucial to conduct thorough research on sustainable land management and optimization. In …