Curse of dimensionality is known as big challenges in data mining, pattern recognition,
computer vison and machine learning in recent years. Feature selection and feature …

Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …

Accurate and real-time tracking for real-world urban logistics has become a popular
research topic in the field of intelligent transportation. While the routing of urban logistic …

Web applications' popularity has raised attention in various service domains, which
increased the concern about cyber-attacks. One of these most serious and frequent web …

Feature selection aims to choose the most relevant features from the dataset that can
enhance the performance and efficiency of machine learning models. Although feature …

Intrusion detection system (IDS) is a combination of software application and hardware
devices that monitors the network and filters activities for malicious or unauthorized access …

Abstract Brain-computer interfaces (BCIs), as a promising technology for rehabilitation, have
attracted significant interest in the fields such as neurosciences, computer science, and …

Gross domestic product (GDP) is an important index reflecting the economic development of
a region. Accurate GDP prediction of develo** regions can provide technical support for …

High-frequency trading (HFT) represents a pivotal and intensely competitive domain within
the financial markets. The velocity and accuracy of data processing exert a direct influence …

Abstract Particle Swarm Optimization (PSO) is popular because of its ease of use and few
parameter tunings. Also, updating particle velocity using the global and particles' personal …