Seguir
Lustiana Pratiwi
Lustiana Pratiwi
Dirección de correo verificada de student.utem.edu.my
Título
Citado por
Citado por
Año
Computational intelligence in digital forensics
SF Pratama, L Pratiwi, A Abraham, AK Muda
Computational Intelligence in Digital Forensics: Forensic Investigation and …, 2014
92014
Immune ant swarm optimization for optimum rough reducts generation
L Pratiwi, YH Choo, AK Muda, NA Muda
International Journal of Hybrid Intelligent Systems 10 (3), 93-105, 2013
42013
Improving ant swarm optimization with embedded vaccination for optimum reducts generation
L Pratiwi, YH Choo, AK Muda, NA Muda
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 448-454, 2011
42011
A framework of rough reducts optimization based on PSO/ACO hybridized algorithms
L Pratiwi, YH Choo, AK Muda
2011 3rd Conference on Data Mining and Optimization (DMO), 153-159, 2011
42011
An empirical study of density and distribution functions for ant swarm optimized rough reducts
L Pratiwi, YH Choo, AK Muda
Software Engineering and Computer Systems: Second International Conference …, 2011
42011
A comparative performance analysis of gaussian distribution functions in ant swarm optimized rough reducts
L Pratiwi, YH Choo, AK Muda
International Journal on New Computer Architectures and Their Applications …, 2011
32011
Covariance Search Model for Identifying ncRNA using Particle Swarm Optimized Agglomerative Clustering.
L Pratiwi, YH Choo, AK Muda, SF Pratama
International Journal of Computer Information Systems & Industrial …, 2023
2023
Swarm Intelligence-based Hierarchical Clustering for Identification of ncRNA using Covariance Search Model.
L Pratiwi, YH Choo, AK Muda, SF Pratama
International Journal of Advanced Computer Science and Applications (IJACSA …, 2022
2022
A Review on Hierarchical Clustering-Based Covariance Model to ncRNA Identification
L Pratiwi, YH Choo, AK Muda
Proceedings of the Eighth International Conference on Soft Computing and …, 2018
2018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–9