dr. Azarakhsh Jalalvand

Journal Article
A1
open access

Hybrid-input FCN-CNN-SE for industrial applications : classification of longitudinal cracks during continuous casting

Davi Alberto Sala (UGent) , Andy Van Yperen-De Deyne (UGent) , Erik Mannens (UGent) and Azarakhsh Jalalvand (UGent)

(2023) METALS. 13(10).

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Journal Article
A1
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Cluster-based input weight initialization for echo state networks

Peter Steiner, Azarakhsh Jalalvand (UGent) and Peter Birkholz

(2023) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 34(10). p.7648-7659

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Journal Article
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open access

Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process

Davi Alberto Sala (UGent) , Andy Van Yperen-De Deyne (UGent) , Erik Mannens (UGent) and Azarakhsh Jalalvand (UGent)

(2023) APPLIED INTELLIGENCE. 53(12). p.15163-15173

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Data science in fusion research : foundations and recent applications

Geert Verdoolaege (UGent) , Jerome Alhage (UGent) , Leonardo Caputo (UGent) , Joseph Hall (UGent) , Azarakhsh Jalalvand (UGent) and Hao Wu (UGent)

(2022) 20th International Congress on Plasma Physics (ICPP 2022), Abstracts.

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Journal Article
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DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy

M. E. Fenstermacher, J. Abbate, S. Abe, T. Abrams, M. Adams, B. Adamson, N. Aiba, T. Akiyama, P. Aleynikov, E. Allen, et al.

(2022) NUCLEAR FUSION. 62(4).

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Exploring data-driven models for spatiotemporally local classification of Alfven eigenmodes

Alan A. Kaptanoglu, Azarakhsh Jalalvand (UGent) , Alvin Garcia, Max E. Austin, Geert Verdoolaege (UGent) , Jeff Schneider, Christopher J. Hansen, Steven L. Brunton, William W. Heidbrink and Egemen Kolemen

(2022) NUCLEAR FUSION. 62(10).

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PyRCN : a toolbox for exploration and application of Reservoir Computing Networks

Peter Steiner, Azarakhsh Jalalvand (UGent) , Simon Stone and Peter Birkholz

(2022) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 113.

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Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma

Azarakhsh Jalalvand (UGent) , Joseph Abbate, Rory Conlin, Geert Verdoolaege (UGent) and Egemen Kolemen

(2022) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 33(6). p.2630-2641

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Journal Article
A1
open access

Alfven eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks

Azarakhsh Jalalvand (UGent) , Alan A. Kaptanoglu, Alvin, V Garcia, Andrew O. Nelson, Joseph Abbate, Max E. Austin, Geert Verdoolaege (UGent) , Steven L. Brunton, William W. Heidbrink and Egemen Kolemen

(2022) NUCLEAR FUSION. 62(2).

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Conference Paper
P1
open access

Unsupervised pretraining of echo state networks for onset detection

Peter Steiner, Azarakhsh Jalalvand (UGent) and Peter Birkholz

(2021) ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2021, PT V. In Lecture Notes in Computer Science 12895. p.59-70

Academic Bibliography

dr. Azarakhsh Jalalvand

Hybrid-input FCN-CNN-SE for industrial applications : classification of longitudinal cracks during continuous casting

Cluster-based input weight initialization for echo state networks

Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process

Data science in fusion research : foundations and recent applications

DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy

Exploring data-driven models for spatiotemporally local classification of Alfven eigenmodes

PyRCN : a toolbox for exploration and application of Reservoir Computing Networks

Real-time and adaptive reservoir computing with application to profile prediction in fusion plasma

Alfven eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks

Unsupervised pretraining of echo state networks for onset detection

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