Results 201 to 210 of about 167,650 (307)
A practical electrodialysis model for accelerating system development
AIChE Journal, EarlyView.Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman +3 more
wiley +1 more source
An improved grey wolf optimization algorithm for 3-D UWB indoor positioning. [PDF]
PLoS OneZhou J, Li B, Yang S, Liu C.
europepmc +1 more source
A NOVEL APPROACH FOR OPTIMIZING RMSE, MSE, PSNR, AND SSIM IN IMAGE PROCESSING
Image quality assessment is a critical aspect of digital image processing, where metrics such as Root Mean Square Error (RMSE), Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index Measure (SSIM) are widely used to evaluate the performance of image enhancement, compression, and restoration techniques.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Application of Space-Time Cube Analysis to Brewing Water Resources: A Complementary Decision-Support Tool for Breweries. [PDF]
FoodsIturritxa E, Hill AE, Torija MJ.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Personalized vs. population-based speech models for multi-dimensional mental health prediction. [PDF]
Front Digit HealthTasnim M, He J, Cao B, Stroulia E.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Residual Asymmetry Modeling and Joint Time-Frequency Estimation for High-Dynamic Two-Way Microwave Links. [PDF]
Sensors (Basel)Hao Z, Wu H.
europepmc +1 more source