Precise Air temperature modeling is crucial for a sustainable environment. In this study, novel binary optimized machine learning model, the random vector functional link (RVFL) with integration of Moth Flame Optimization Algorithm (MFO) and Water Cycle (WCA) examined to estimate monthly daily time series Rajshahi Climatic station in Bangladesh. Various combinations precipitation were used pred...

Abstract Software usability is usually used in reference to the hierarchical software model by researchers and an important aspect of user experience quality. Thus, evaluation essential parameter for managing regulating a software. However, it has been difficult establish precise method this problem. A large number factors have suggested many researchers, each covering set different increase de...

The problem of parameter estimation the proton exchange membrane fuel cell (PEMFC) model plays a significant role in simulation and optimization PEMFC system. In current research, moth flame algorithm (MFOA) is used to identify best parameters PEMFC. Two different PEMFCs, Nedstack PS6, 6 kW, SR-12 PEM 500 W are demonstrate accuracy MFOA. Throughout process, seven unidentified (℥1</s...

Accurate prediction of material defects from the given images will avoid major cause in industrial applications. In this work, a Support Vector Regression (SVR) model has been developed Gray Level Co-occurrence Matrix (GLCM) features extracted Magnetic Flux Leakage (MFL) wherein length, depth, and width are considered response values data set, percentage for testing SVR model. Four parameters l...

Abstract Effective and personalized treatment relies heavily on skin disease categorization. In the stratification of disorders, it is crucial to identify subtypes illnesses provide an efficient therapy. To attain this aim, researchers have focused their attention cluster algorithms for disorders in recent decades. But, real-world drawbacks, including experimental noises, a large number dimensi...

Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies movement which organism towards or away from source light, features for moths. The best moth individual seen as light in search. moths that have smaller distance one will fly around by flights. For reasons photota...

We present a rigorous, component-based analysis of six widespread metaphor-based algorithms for tackling continuous optimization problems. In addition to deconstructing the into their components and relating them with equivalent proposed in well-established techniques, such as particle swarm evolutionary algorithms, we analyze use metaphors that inspired these understand whether usage has broug...

Rolling bearings are critical in maintaining smooth operation of rotating machinery and considerably influence its reliability. The signals collected from rolling field conditions often subjected to noise, creating a challenge extract weaker fault features. This paper proposes bearing diagnosis method that addresses the above-mentioned problem through moth-flame optimization algorithm optimized...

Wireless sensor networks (WSNs) are used for recording the information from physical surroundings and transmitting gathered records to a principal location via extensively disbursed nodes. The proliferation of devices advances in size, deployment costs, user-friendly interfaces have spawned numerous WSN applications. should use routing protocol send sink over low-cost link. One foremost vital p...