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Data-Driven Non-Linear Current Controller Based on Deep Symbolic Regression for SPMSM
Data-Driven Non-Linear Current Controller Based on Deep Symbolic Regression for SPMSM
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Data-Driven Non-Linear Current Controller Based on Deep Symbolic Regression for SPMSM

Usama, Muhammad ; Lee, In-Young

Sensors (Basel, Switzerland), 2022-10, Vol.22 (21), p.8240 [Periódico revisado por pares]

Basel: MDPI AG

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2
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
Deep Neural Network Augmentation: Generating Faces for Affect Analysis
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Deep Neural Network Augmentation: Generating Faces for Affect Analysis

Kollias, Dimitrios ; Cheng, Shiyang ; Ververas, Evangelos ; Kotsia, Irene ; Zafeiriou, Stefanos

International journal of computer vision, 2020-05, Vol.128 (5), p.1455-1484 [Periódico revisado por pares]

New York: Springer US

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3
Simultant: simultaneous curve fitting of functions and differential equations using analytical gradient calculations
Simultant: simultaneous curve fitting of functions and differential equations using analytical gradient calculations
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Simultant: simultaneous curve fitting of functions and differential equations using analytical gradient calculations

Kirkegaard, Julius B

BMC bioinformatics, 2022-05, Vol.23 (1), p.191-191, Article 191 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
Identifying alert concentrations using a model-based bootstrap approach
Identifying alert concentrations using a model-based bootstrap approach
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Identifying alert concentrations using a model-based bootstrap approach

Möllenhoff, Kathrin ; Schorning, Kirsten ; Kappenberg, Franziska

Biometrics, 2023-09, Vol.79 (3), p.2076-2088 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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5
Modeling aftershocks as a stretched exponential relaxation
Modeling aftershocks as a stretched exponential relaxation
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Modeling aftershocks as a stretched exponential relaxation

Mignan, A.

Geophysical research letters, 2015-11, Vol.42 (22), p.9726-9732 [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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6
Online signature verification based on dynamic features from gene expression programming
Online signature verification based on dynamic features from gene expression programming
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Online signature verification based on dynamic features from gene expression programming

Tan, Hua ; He, Lang ; Huang, Zhang-Can ; Zhan, Hang

Multimedia tools and applications, 2024-02, Vol.83 (5), p.15195-15221 [Periódico revisado por pares]

New York: Springer US

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7
Predicting and controlling the ground vibration using gene expression programming (GEP) and teaching–learning-based optimization (TLBO) algorithms
Predicting and controlling the ground vibration using gene expression programming (GEP) and teaching–learning-based optimization (TLBO) algorithms
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Predicting and controlling the ground vibration using gene expression programming (GEP) and teaching–learning-based optimization (TLBO) algorithms

Dehghani, Hesam ; Jodeiri Shokri, Behshad ; Mohammadzadeh, Hoshiar ; Shamsi, Reza ; Abbas Salimi, Nasrin

Environmental earth sciences, 2021-11, Vol.80 (22), Article 740 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma
Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma
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Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma

He, Zihao ; Deng, Tuo ; Duan, Xiaolu ; Zeng, Guohua

Bioscience reports, 2020-09, Vol.40 (9), p.1 [Periódico revisado por pares]

England: Springer Nature B.V

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9
Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network
Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network
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Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network

Singh, P ; Tang, X ; Rahimi, H. R

Journal of hydrologic engineering, 2019-12, Vol.24 (12) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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10
3D/4D facial expression analysis: An advanced annotated face model approach
3D/4D facial expression analysis: An advanced annotated face model approach
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3D/4D facial expression analysis: An advanced annotated face model approach

Fang, Tianhong ; Zhao, Xi ; Ocegueda, Omar ; Shah, Shishir K. ; Kakadiaris, Ioannis A.

Image and vision computing, 2012-10, Vol.30 (10), p.738-749 [Periódico revisado por pares]

Elsevier B.V

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