Abstract The Dwarf Mongoose Optimization Algorithm (DMO) is a popular metaheuristic
algorithm utilized to solve real-world problems. However, DMO has limitations such as slow …

This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA)
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …

Datasets often include excessive or irrelevant data that affect the performance and
complexity of the machine learning model. Feature selection is one of the most effective …

Remote sensing (RS) data can be attained from different sources, such as drones, satellites,
aerial platforms, or street-level cameras. Each source has its own characteristics, including …

This article presents a modified intelligent metaheuristic form of the Dwarf Mongoose
Optimizer (MDMO) for optimal modeling and parameter extraction of solar photovoltaic …

Cyber-physical systems (CPS) combine computational and physical elements to enable
effective and intelligent control of several applications. However, the increasing connectivity …

In the context of the escalating use of social media in Arabic-speaking countries, driven by
improved internet access, affordable smartphones, and a growing digital connectivity trend …

Structural changes in electrical energy systems are occurring rapidly. Due to the
development of technology and the increase in energy consumption, the importance and …

The process of data classification involves determining the optimal number of features that
lead to high accuracy. However, feature selection (FS) is a complex task that necessitates …

In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards
due to changes in Southeast Asia's environmental, hydrological, and socio-economic …