Area of research
Industrial and Manufacturing Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial immune system, Artificial intelligence, Classifier (UML), Term (time), and Recurrent neural network.
A novel complex network community detection approach using discrete particle swarm optimization with particle diversity and mutation
A cluster validity evaluation method for dynamically determining the near-optimal number of clusters
A multiple time series-based recurrent neural network for short-term load forecasting
Bike sharing demand prediction using artificial immune system and artificial neural network
A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection
A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems
A population-based incremental learning approach with artificial immune system for network intrusion detection
A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs: Investigations motivated by vehicle production