Accurate solar radiation (SR) prediction is one of the essential prerequisites harvesting energy. The current study proposed a novel intelligence model through hybridization Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic optimization algorithms, Salp Swarm Algorithm (SSA) and Grasshopper Optimization (GOA) (ANFIS-muSG) for global SR at different locations North Dakota, USA...

Induction motors (IM) attracted many researchers in the last few decades. In this field, various applications are implemented, such as servo motor drives and electric vehicles. This work applies a sensorless direct torque controller (DTC) to control three-phase IM. System dynamics of IM were derived. A nonlinear dynamic model had introduced with white noise. Given complexity dynamics, Jacobean ...

Precise streamflow prediction is crucial in the optimization of distribution water resources. This study develops machine learning models by integrating recurrent gate unit (GRU) with bacterial foraging (BFO), gray wolf optimizer (GWO), and human group (HGO) to forecast Tra Khuc River, Vietnam. For this purpose, time series daily rainfall river flow at Son Giang station from 2000 2020 were empl...

Feature selection (FS) is a pre-processing step that aims to eliminate the redundant and less-informative features enhance performance of data mining techniques. It also considered as one key success factors for classification problems in high-dimensional datasets. This paper proposes an efficient wrapper feature method based on Grey Wolf Optimizer (GWO). GWO recent metaheuristic algorithm has ...

Owing to the recent technological innovations, unmanned aerial vehicles (UAVs) are progressively employed in various civil and military applications, including healthcare. This requires estimating an optimum route under real-world complexities, such as non-uniform obstacles. However, most of reported work considers only uniform obstacles object, which limit their practical applicability. Hence,...

Electrochemical machining (ECM) is a preferred advanced process for Monel 400 alloys. During the machining, toxic nickel hydroxides in sludge are formed. Therefore, it becomes necessary to determine optimum ECM parameters that minimize presence (NP) emission while maximizing material removal rate (MRR). In this investigation, predominant parameters, such as applied voltage, flow rate, and elect...