Results 191 to 200 of about 254,846 (297)

Artificial neural network (ANN) analysis on thermophysical properties of magnetohydrodynamics flow with radiation in an arc-shaped enclosure with a rotating cylinder. [PDF]

Heliyon
Bairagi T, Jahid Hasan M, Hudha MN, Azad AK, Rahman MM.   +4 more
europepmc   +1 more source

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN). [PDF]

Molecules, 2020
Khan T, Binti Abd Manan TS, Isa MH, Ghanim AAJ, Beddu S, Jusoh H, Iqbal MS, Ayele GT, Jami MS.   +8 more
europepmc   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet. [PDF]

Drug Des Devel Ther, 2020
Khan AM, Hanif M, Bukhari NI, Shamim R, Rasool F, Rasul S, Shafique S.   +6 more
europepmc   +1 more source

A Comparison between Finite Element Model (FEM) Simulation and an Integrated Artificial Neural Network (ANN)-Particle Swarm Optimization (PSO) Approach to Forecast Performances of Micro Electro Discharge Machining (Micro-EDM) Drilling. [PDF]

Micromachines (Basel), 2021
Quarto M, D'Urso G, Giardini C, Maccarini G, Carminati M.   +4 more
europepmc   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

An application of artificial neural network (ANN) for comparative performance assessment of solar chimney (SC) plant for green energy production. [PDF]

Sci Rep
Mandal DK, Biswas N, Manna NK, Gayen DK, Benim AC.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +1 more source

Study of factors affecting the magnetic sensing capability of shape memory alloys for non-destructive evaluation of cracks in concrete: Using response surface methodology (RSM) and artificial neural network (ANN) approaches. [PDF]

Heliyon
Khurshid H, Mohammed BS, Bheel N, Cahyadi WA, Mukhtar H.   +4 more
europepmc   +1 more source