Results 111 to 120 of about 862 (232)
The Canadian Journal of Chemical Engineering, EarlyView.The contaminant removal performance of a conventional coagulant, alum, and alternative coagulants, aluminium chlorohydrate (ACH) and ACH + pDADMC, are compared in challenging wastewater treatment conditions (pH >7.8). The interactions of each coagulant with a negatively charged surface are depicted based on quartz crystal microbalance with dissipation ...
Sinan Abi Farraj +3 more
wiley +1 more source
Development of a Meshless Kernel-Based Scheme for Particle-Field Brownian Dynamics Simulations. [PDF]
J Phys Chem BSgouros AP, Theodorou DN.
europepmc +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Combining Fast Exploration with Accurate Reweighting in the OPES-eABF Hybrid Sampling Method. [PDF]
J Chem Theory ComputHulm A, Schiller RP, Ochsenfeld C.
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Development and Bayesian Uncertainty Quantification of Coarse-Grained Models of Metals Based on Embedded Atom Method Potentials. [PDF]
J Chem Theory ComputSose AT +5 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker +4 more
wiley +1 more source
Food Chemistry International, EarlyView.This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud +3 more
wiley +1 more source
An integrated facial recognition system for classroom resource optimization using MobileNet and SSA-SVM. [PDF]
Sci RepFan K.
europepmc +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
International Journal for Numerical Methods in Fluids, EarlyView.A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley +1 more source