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ISSN Print: 2689-3967
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АрхивТом 4, 2023 / Выпуск 1DOI: 10.1615/JMachLearnModelComput.v4.i1 Table of Contents: 
USING PHYSICS-INFORMED NEURAL NETWORKS TO SOLVE FOR PERMEABILITY FIELD UNDER TWO-PHASE FLOW IN HETEROGENEOUS POROUS MEDIA
Mingyuan Yang, John T.  Foster
 
 
Mingyuan Yang  
John T.  Foster DOI: 10.1615/JMachLearnModelComput.2023046921 
HOW IMPORTANT ARE ACTIVATION FUNCTIONS IN REGRESSION AND CLASSIFICATION? A SURVEY, PERFORMANCE COMPARISON, AND FUTURE DIRECTIONS
Ameya D. Jagtap, George Em Karniadakis
 
 
Ameya D. Jagtap  
George Em Karniadakis DOI: 10.1615/JMachLearnModelComput.2023047367 
ASSESSMENT OF NEUROIMAGING DATA AND IDENTIFICATION OF ALZHEIMER'S DISEASE USING EXTREME LEARNING MACHINES
Dharini Raghavan, K. V.  Suma, Puneeth N. Ganesh
 
 
Dharini Raghavan  
K. V.  Suma  
Puneeth N. Ganesh DOI: 10.1615/JMachLearnModelComput.2023048413 
A SCALABLE TRANSFORMER MODEL FOR REAL-TIME DECISION MAKING IN NEUTRON SCATTERING EXPERIMENTS
Junqi  Yin, Siyan  Liu, Viktor  Reshniak, Xiaoping  Wang, Guannan Zhang
 
 
Junqi  Yin  
Siyan  Liu  
Viktor  Reshniak  
Xiaoping  Wang  
Guannan Zhang DOI: 10.1615/JMachLearnModelComput.2023048607 
PARAMETER ESTIMATION FOR THE TRUNCATED KdV MODEL THROUGH A DIRECT FILTER METHOD
Hui  Sun, Nicholas J.  Moore, Feng Bao
 
 
Hui  Sun  
Nicholas J.  Moore  
Feng Bao DOI: 10.1615/JMachLearnModelComput.2023047711  | 
 
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