Results 71 to 80 of about 8,393 (214)

Jitter noise modeling and its removal using recursive least squares in shape from focus systems. [PDF]

Sci Rep, 2022
Mutahira H, Shin V, Park U, Muhammad MS.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Speed control of induction motor using fuzzy recursive least squares technique

TecnoLógicas, 2008
A simple adaptive controller design is presented in this paper, the control system uses the adaptive fuzzy logic, sliding modes and is trained with the recursive least squares technique.
Santiago Sánchez, Eduardo Giraldo
doaj  

Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems. [PDF]

Sensors (Basel), 2022
Ai X, Zhao J, Zhang H, Sun Y.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Robust Regularized Recursive Least-Squares Algorithm Based on Third-Order Tensor Decomposition

Algorithms
The decomposition-based adaptive filtering algorithms have recently gained increasing interest due to their capability to reduce the parameter space.
Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Cristian-Lucian Stanciu, Laura-Maria Dogariu, Ruxandra-Liana Costea   +5 more
doaj   +1 more source

Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil. [PDF]

Evol Syst (Berl), 2022
Queiroz ERC, Alves KSTR, Cyrino Oliveira FL, Pestana de Aguiar E.   +3 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Adaptive PI Control Using Recursive Least Squares for Centrifugal Pump Pipeline Systems

Machines
Pipeline transportation of petroleum products remains one of the safest and most efficient methods of bulk energy delivery, yet overpressure events continue to pose serious operational and regulatory challenges.
David A. Brattley, Wayne W. Weaver
doaj   +1 more source