Imam Mukhlash

Orcid: 0000-0001-8877-354X

According to our database1, Imam Mukhlash authored at least 16 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Do physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithm.
CoRR, February, 2026

Consecutive attractive local regions - bidirectional long short-term memory for trip destination prediction.
J. Intell. Transp. Syst., January, 2026

Carbon trading strategy in the European market based on risk analysis using deep stochastic reinforcement learning.
Appl. Soft Comput., 2026

2024
A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations.
Comput. Math. Appl., January, 2024

Mining fuzzy local periodic activity pattern for Smart home applications.
Knowl. Based Syst., 2024

2023
Application of near approximations in Cayley graphs.
Discret. Math. Algorithms Appl., November, 2023

Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2023

European High-Dimensional Option Pricing using Backward Stochastic Differential Equation-Based Convolutional Neural Network.
Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 2023

An Autoencoder Based ASCII Art Generator.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023

2022
Machine Learning for the Prediction of Antiviral Compounds Targeting Avian Influenza A/H9N2 Viral Proteins.
Symmetry, 2022

Discovery of Profitable Stock Price Movement Patterns from Various High Utility Pattern Mining.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

Indonesian Finance News Sentiment from Hybrid Deep Learning and Support Vector Machine.
Proceedings of the ICoMS 2022: 5th International Conference on Mathematics and Statistics, Paris, France, June 17, 2022

Performance Improvement of Logistic Regression for Binary Classification by Gauss-Newton Method.
Proceedings of the ICoMS 2022: 5th International Conference on Mathematics and Statistics, Paris, France, June 17, 2022

Pseudo slicer on three dimensional brain tumor segmentation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Near approximations in rings.
Appl. Algebra Eng. Commun. Comput., 2021

2013
Decision mining for multi choice workflow patterns.
Proceedings of the 2013 International Conference on Computer, 2013


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