In this modern era, due to demand for cloud environments in business, the size, complexity, and chance of attacks virtual network (VCN) are increased. The protection VCN is required maintain faith users. Intrusion detection essential secure any network. existing approaches that use conventional neural cannot utilize all information identifying intrusions. paper, anomaly-based NIDS proposed. For...

This research presents a hybrid approach for path planning of autonomous underwater vehicles (AUVs). During planning, static obstacles affect the desired and distance which result in collision penalties. In this study, merits grey wolf optimization (GWO) genetic algorithm (GA) bionic-inspired algorithms are integrated to implement (HGWO) allows AUVs reach their destination safely an obstacle ri...

Prediction of pile bearing capacity has been considered an unsolved problem for years. This study presents a practical solution the preparation and maximization capacity, considering effects time after end driving. The prediction phase proposes intelligent equation using genetic programming (GP) model. Thus, geometry, soil properties, initial driving were predictors to predict capacity. develop...

A partial shading condition (PSC) is one of the most common problems in photovoltaic (PV) system. It causes output power a PV system drastically decrease. Meta-heuristic algorithms (MHA) can track maximum point power-voltage curve with multiple peaks. Grey wolf optimization (GWO) algorithm new based on MHA. has been used to solve many applications including MPPT for However, accuracy and tracki...

Retinal blood vessels are affected by a variety of eye diseases, including hypertensive retinopathy (HR) and diabetic (DR). A person with HR needs to be sure check their eyes regularly, which requires the use computer vision methods analyze images back help ophthalmologists automatically. Automated diagnostic systems useful for diagnosing different retinal diseases patients who need establish a...

Optimization is a buzzword, whenever researchers think of engineering problems. This paper presents new metaheuristic named dingo optimizer (DOX) which motivated by the behavior (Canis familiaris dingo). The overall concept to develop this method involving collaborative and social dingoes. developed algorithm based on hunting dingoes that includes exploration, encircling, exploitation. All abov...

Multilevel inverters are a new class of dc-ac converters designed for high-power medium voltage and power applications as they work at high switching frequencies in renewable by avoiding stresses like dv/dt has low harmonic distortion their output voltage. In variable speed drives generation systems, the use multilevel is obligatory. To estimate positions inverter configuration with value, fast...

Integration of different models may improve the performance landslide susceptibility assessment, but few studies have tested it. The present study aims at exploring way to integrating and comparing results among integrated individual models. Our objective is answer this question: Will model higher accuracy compared with model? Lvliang mountains area, a landslide-prone area in China, was taken a...