Results 81 to 90 of about 62,442 (223)

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Stochastic computing with Levenberg–Marquardt neural networks for the study of radiative transportation phenomena in three-dimensional Carreau nanofluid model subjected to activation energy and porous medium

Chemical Engineering Journal Advances
The objective of this research is to establish the modelling and evaluation of a differential mathematical system for the radiated Carreau nanofluid model (RCNFM) by exploiting the skills of stochastic computing with Levenberg–Marquardt neural networks ...
Zahoor Shah, Muhammad Asif Zahoor Raja, Faisal Shahzad, Muhammad Waqas, Fahad Alblehai, Sameer Nooh, Sajjad Shaukat Jamal, Nurnadiah Zamri, Shaxnoza Saydaxmetova, Abdelaziz Nasr   +9 more
doaj   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

Energy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li, Bing Qi, Rashid Ali, Abubakar Siddique, Waseem Aslam, Hongfang Pan   +5 more
wiley   +1 more source

Application of Levenberg-Marquardt backpropagation algorithm to the Yamada-Ota model for thermal study of a TiO2-SiO2/Hexanol hybrid fluid: A heat transfer system

Case Studies in Thermal Engineering
Levenberg-Marquardt backpropagation has emerged as a powerful method in the field of heat transfer, despite its original use in the training of artificial neural networks.
Nidhi N. Pai, K. Preethi Salian, K.R. Vasanth, K. Ganesh Kumar   +3 more
doaj   +1 more source

Implementation and testing of selected optimization methods for the parameter estimation of simulation models [PDF]

, 2016
Tato práce se zabývá návrhem vhodných optimalizačních algoritmů pro potřeby nově vyvíjeného nástroje Mechlab’s parameter estimation, který slouží pro odhad parametrů simulačních modelů v prostředí Matlab/Simulink.
Zapletal, Marek
core  

A trade‐off between efficiency and stability in a class of sky‐blue organic light‐emitting diodes

FlexMat, EarlyView.
OLED efficiency and stability are correlated with device structure using combined experimental and simulation approach. Efficient, but less stable devices suffer mainly from exciton‐exciton annihilation, while their opposites have excitons predominantly quenched by polarons.
Eglė Tankelevičiūtė, Sandra Jenatsch, Beat Ruhstaller, Eli Zysman‐Colman, Ifor D. W. Samuel   +4 more
wiley   +1 more source

The Illusion of Structural Order: Evaluating the Suppression of Amorphous Carbon Black Pigment Bands in SSE‐Processed Handheld Raman Spectra

Journal of Raman Spectroscopy, EarlyView.
The handheld Raman with SSE system efficiently mitigates fluorescence; however, it may also bias the Raman response towards graphitic domains in carbon‐based black pigments, thereby concealing amorphous carbon contributions that are critical for pigment type identification.
Zeynep Alp, Christoph Herm
wiley   +1 more source

Neural network training acceleration using NVIDIA CUDA technology for image recognition

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012
In this paper, an implementation of neural network trained by algorithm based on Levenberg-Marquardt method is presented. Training of neural network increased by almost 9 times using NVIDIA CUDA technology.
Alexander A Fertsev
doaj   +3 more sources

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

, 2016
Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes.
Bernstein, Gilbert, DeVito, Zachary, Fisher, Matthew, Hanrahan, Pat, Mara, Michael, Nießner, Matthias, Ragan-Kelley, Jonathan, Theobalt, Christian, Zollhöfer, Michael   +8 more
core   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source