Khairul Azhar Kasmiran

Orcid: 0000-0002-7018-5560

According to our database1, Khairul Azhar Kasmiran authored at least 15 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
A novel approach for handling missing data to enhance network intrusion detection system.
Cyber Secur. Appl., 2025

2024
Extracting adverse drug events from clinical Notes: A systematic review of approaches used.
J. Biomed. Informatics, 2024

2023
Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU.
IEEE Access, 2023

2022
Artificial Intelligence in Adaptive and Intelligent Educational System: A Review.
Future Internet, 2022

Multiobjective Deep Reinforcement Learning for Recommendation Systems.
IEEE Access, 2022

2021
SEQ2SEQ++: A Multitasking-Based Seq2seq Model to Generate Meaningful and Relevant Answers.
IEEE Access, 2021

2020
Enhancements to the Sequence-to-Sequence-Based Natural Answer Generation Models.
IEEE Access, 2020

2019
Temporal Trends Analysis for Dengue Outbreak and Network Threats Severity Prediction Accuracy Improvement.
J. Digit. Inf. Manag., 2019

Sequence to Sequence Model Performance for Education Chatbot.
Int. J. Emerg. Technol. Learn., 2019

2017
A Software Application for Survey Form Design and Processing for Scientific Use.
IEEE Access, 2017

2015
A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization.
Soft Comput., 2015

Improving reliability in resource management through adaptive reinforcement learning for distributed systems.
J. Parallel Distributed Comput., 2015

Multi-View Human Action Recognition Using Wavelet Data Reduction and Multi-Class Classification.
Proceedings of the 2015 International Conference on Soft Computing and Software Engineering, 2015

2012
Examining Text Categorization Methods for Incidents Analysis.
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2012

2010
SVM-enabled prognostic method for clinical decision making: The use of CD4 T-cell level and HIV-1 viral load for guiding treatment initiation and alteration.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010


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