Search Results - (( ((models using) OR (code using)) a algorithm ) OR ( modified parameter optimization algorithm ))

1

A modified Adam algorithm for deep neural network optimization

by Mohamed, Reyad, Amany M., Sarhan, M., Arafa
Published 2023

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2

Maximizing the output power for electric vehicles charging station powered by a wind energy conversion system using tip speed ratio

by Kawashty, Amro A., Abdellatif, Sameh O., Ebrahim, Gamal A.
Published 2023

Subjects: “...TSR MPPT algorithm...”
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3

Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables

by Nguyen, Manh Long, Tran, Thi Thu Huong, Nguyen, Tuan Anh, Nguyen, Duc Ngoc, Dang, Ngoc Duyen
Published 2022

“... of the vehicle dynamics used in this paper includes a hydraulic actuator, therefore, this model will include five...”
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4

Application of MIMO Control Algorithm for Active Suspension System: A New Model with 5 State Variables

by Manh Long Nguyen, Thi Thu Huong, Tran, Tuan Anh, Nguyen, Duc Ngoc, Nguyen, Ngoc Duyen, Dang
Published 2022

“... of the vehicle dynamics used in this paper includes a hydraulic actuator, therefore, this model will include five...”
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5

Using machine learning prediction models for quality control a case study from the automotive industry

by Mohamed Kais, Msakni, Anders, Risan, Peter, Schütz
Published 2023

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6

A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks

by Erol, Egrioglu, Crina, Grosan, Eren, Bas
Published 2023

Subjects: “...genetic algorithm...”
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7

A new model of air quality prediction using lightweight machine learning

by N. H. Van, P. Van Thanh, D. N. Tran, D. T. Tran
Published 2022

“... learning algorithms to predict the AQI. Even though those works showed good performance on specific data...”
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8

Taylorism on steroids or enabling autonomy A systematic review of algorithmic management

by Niilo, Noponen, Polina, Feshchenko, Tommi, Auvinen
Published 2023

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9

The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study

by Esraa, Hassan, Mahmoud Y., Shams, Noha A., Hikal
Published 2023

Subjects: “...Optimization algorithms...”
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10

Model-Based Parametric Study of Surface-Breaking Defect Characterization Using Half-Skip Total Focusing Method

by Xiangyu, Lei, Håkan, Wirdelius, Johan E., Carlson
Published 2023

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11

Computational Models in Engineering

by Volkov, Konstantin
Published 2023

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12

Performance–energy trade-offs of deep learning convolution algorithms on ARM processors

by Manuel F., Dolz, Sergio, Barrachina, Héctor, Martínez
Published 2023

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13

Optimization of the Multi-Level Spring Restrainer for Bridges by Hybrid Particle Swarm and Gravitational Search Algorithm

by Mustafa Kareem, Hamzah, Farzad, Hejazi, Najad, Ayyash
Published 2023

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14

Minimum capital requirement and portfolio allocation for non-life insurance: a semiparametric model with Conditional Value-at-Risk (CVaR) constraint

by Alessandro, Staino, Emilio, Russo, Massimo, Costabile
Published 2023

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15

MLMRS-Net Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network

by Sakib, Mahmud, Md Shafayet, Hossain, Muhammad E. H., Chowdhury
Published 2023

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16

First Semester in Numerical Analysis with Python

by Liu, Yaning
Published 2022

Subjects: “...Coding...”
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17

Minimum budget for misinformation detection in online social networks with provable guarantees

by Canh V. Pham
Published 2021

Subjects: “...Approximation algorithms...”
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18

Critical Buckling Load Evaluation of Functionally Graded Material Plate Using Gaussian Process Regression

by Huan, Thanh Duong, Hieu, Chi Phan, Tien, Thinh Le
Published 2022

“..., the study establishes the database from analytical model and uses it for developing a machine learning model...”
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19

Critical Buckling Load Evaluation of Functionally Graded Material Plate Using Gaussian Process Regression

by Huan Thanh, Duong, Hieu Chi, Phan, Tien Thinh, Le
Published 2022

“..., the study establishes the database from analytical model and uses it for developing a machine learning model...”
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20

Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions

by Michael C., Burkhart
Published 2023

Subjects: “...latent state-space model...”
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