Results 51 to 60 of about 254,846 (297)
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Advanced Healthcare Materials, EarlyView.Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
Artificial neural network model with the parameter tuning assisted by a differential evolution technique: the study of the hold up of the slurry flow in a pipeline [PDF]
Chemical Industry and Chemical Engineering Quarterly, 2009 This paper describes a robust hybrid artificial neural network (ANN) methodology which can offer a superior performance for the important process engineering problems.
S. K. Lahiri, K. C. Ghanta
doaj
FILTRATION MODELING USING ARTIFICIAL NEURAL NETWORK (ANN)
Journal of Engineering, 2011 In this research Artificial Neural Network (ANN) technique was applied to study the filtration process in water treatment. Eight models have been developed and tested using data from a pilot filtration plant, working under different process design ...
Awatif Soaded Alsaqqar
doaj +1 more source
Theoretical and Applied Mechanics Letters, 2020 The subgrid-scale (SGS) stress and SGS heat flux are modeled by using an artificial neural network (ANN) for large eddy simulation (LES) of compressible turbulence. The input features of ANN model are based on the first-order and second-order derivatives
Chenyue Xie +4 more
doaj +1 more source
Artificial Neural Network Utilization for FSO Link Performance Estimation [PDF]
, 2014 This paper describes FSO link performance prediction based on available meteorological data using different Artificial Neural Network (ANN) approaches. Several types of ANNs were compared and their performance were evaluated.
Mudroch, M., Zvanovec, S.
core +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
Advanced Materials, EarlyView.This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
A new approach to building artificial neural networks and medicine
Annals of Mechnikov's Institute, 2021 Numerous attempts to use neural networks in medicine remain unsuccessful to this day because of an old mistake in the development of neural networks.
Boris Zlotin +8 more
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Information Processing in Agriculture, 2018 Accurate classification of fruit varieties in processing factories and during post-harvesting applications is a challenge that has been widely studied.
Sajad Sabzi +2 more
doaj +1 more source
Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit Tht Di Rumah Sakit Mardi Rahayu Kudus [PDF]
, 2009 Artificial neural network (ANN) is a modern computing paradigm. That can be used for the pattern recognition and other. Backpropagation is artificial neural network which using hidden layer addition.
Hartanto, R. (Rudi) +2 more
core
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source