Alvin Wei Ze Chew
Orcid: 0000-0002-4555-6462
According to our database1,
Alvin Wei Ze Chew
authored at least 13 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning.
Expert Syst. Appl., January, 2024
2022
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning.
Knowl. Based Syst., 2022
Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission.
Appl. Soft Comput., 2022
Predictive modeling framework accelerated by GPU computing for smart water grid data-driven analysis in near real-time.
Adv. Eng. Softw., 2022
2021
Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models.
Dataset, October, 2021
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission.
Knowl. Based Syst., 2021
2020
Homogenization theory with multiscale perturbation analysis for supervised learning of complex adsorption-desorption process in porous-media systems.
J. Comput. Sci., 2020
Optimizing Speedup Performance of Computational Hydrodynamic Simulations with UPC Programming Model.
J. Comput. Civ. Eng., 2020
2019
Feature engineering using homogenization theory with multiscale perturbation analysis for supervised model-based learning of physical clogging condition in seepage filters.
J. Comput. Sci., 2019
Novel multiscale grid representations of deep neural network layers for modelling complex engineering processes.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019
2018
High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative.
Proceedings of the Computational Science - ICCS 2018, 2018
Multiscale Homogenization of Pre-treatment Rapid and Slow Filtration Processes with Experimental and Computational Validations.
Proceedings of the Computational Science - ICCS 2018, 2018