Browsing HVL Open by Author "Rahman, Talal"
Now showing items 1-5 of 5
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Additive Schwarz preconditioner for the finite volume element discretization of symmetric elliptic problems
Marcinkowski, Leszek; Rahman, Talal; Loneland, Atle; Valdman, Jan (Peer reviewed; Journal article, 2015) -
Application of Machine Learning to Predict Blockage in Multiphase Flow
Saparbayeva, Nazerke; Balakin, Boris; Struchalin, Pavel; Rahman, Talal; Alyaev, Sergey (Peer reviewed; Journal article, 2024)This study presents a machine learning-based approach to predict blockage in multiphase flow with cohesive particles. The aim is to predict blockage based on parameters like Reynolds and capillary numbers using a random ... -
Computational Analysis of Biodegradable Polyester Materials for Biomedical Applications: Investigating Molecular Weight Change due to Hydrolysis
Velu, Aeneas Jerron; Thirunavukkarasu, Pathmathas; Rahman, Talal; Mustafa, Kamal Babikeir Elnour; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2024)Biopolymers have gained significant importance in the field of biomedicine, particularly in addressing organ and tissue loss in living organisms. These polymers exhibit temporary functionality during treatment and undergo ... -
In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications
Nazimutheen Musthafa, Haja Sherief; Walker, Jason; Rahman, Talal; Bjørkum, Alvhild Alette; Mustafa, Kamal Babikeir Elnour; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2023)Due to their excellent properties, triply periodic minimal surfaces (TPMS) have been applied to design scaffolds for bone tissue engineering applications. Predicting the mechanical response of bone scaffolds in different ... -
Sparse-Data Based 3D Surface Reconstruction for Cartoon and Map
Wu, Bin; Rahman, Talal; Tai, Xue-Cheng (Chapter; Peer reviewed, 2018)A model combining the first-order and the second-order variational regularizations for the purpose of 3D surface reconstruction based on 2D sparse data is proposed. The model includes a hybrid fidelity constraint which ...