Here, we present deepmriprep, a neural network-based pipeline that performs all necessary preprocessing steps for VBM analysis of T1-weighted MR images using deep neural networks. Utilizing the Graphics Process
Through a comprehensive analysis of the literature published over the past 25 years, we determined the importance of matching preprocessing and regression methods for predicting plant phosphorus spectral responses. The combination of pretreatment and regression methods is particularly important for regional-...
PreprocessingSignal DetectionMassive MIMOGauss-Seidel MethodThe mini-mum mean square error(MMSE) algorithm nearly achieves optimal performance in massive Multiple-Input Multiple-Output (MIMO) detection, but its direct application is limited by the computational burden of high-dimensional matrix inversions. ...
This paper introduces Singular-value Gain Compensation (SGC), a robust preprocessing method for Ground Penetrating Radar (GPR) that integrates Singular Value Decomposition (SVD) and Time Gain Compensation (TGC). SGC effectively enhances the signal-to-noise ratio while maintaining weak signal integrity,...
Study addresses measurement variability across multiple NIR instruments.Novel IECI metric quantifies error correlation comprehensively.The IECI guides in preprocessing method screening and selection.Results enhance PLS model accuracy and reliability in cannabis analysis.Framework applicable for error management ...
Airport slot allocationInteger programmingColumn generationPreprocessingSchedulingA column-and-row generation algorithm is developed for the airport slot allocation problem.A preprocessing scheme is proposed that is 10x faster than a commercial MIP solver.A novel formulation is introduced to model historical ...
Additionally, preprocessing tended to increase the volume, duration, and flow rates, giving the impression that the consumption was higher than the real scenario. The constructed models were not able to overcome the distortions introduced by Trace Wizard classification. For example, fixtures had poor ...
PyrolysisReviewed the variability of intrinsic/extrinsic inorganic species in woody biomass.Discussed the impact of inorganic species on preprocessing operations.Examined the influence of ash content on pyrolysis efficiency and outcomes.Suggested strategies to mitigate inorganic's impact and boost biofuel ...
grindinghammer millenergyparticle sizeThe high amount of energy consumed during the processing of biomass inflates the production cost of bio-fuels and bio-products. This study was therefore carried out to evaluate the influence of drying and grinding sequence on biomass energy consumption and ...