Physiotherapeutic exoskeleton devices have recently been developed to help people rehabilitate impaired limb mobility and replace the use of physiotherapists. Such systems are characterized by high nonlinear time-varying coefficients. In order cope with such difficult control challenges, a need arose for reliable controllers. While in this study Sliding Mode Control (SMC) was used track traject...

Abstract News is a medium that notifies people about the events had happened worldwide. The menace of fake news on online platforms rise which may lead to unwanted events. majority spread through social media platforms, since these have great reach. To identify credibility news, various spam detection methods are generally used. In this work, new stance method has been proposed for identifying ...

Abstract To solve the problems of whale optimization algorithm (WOA) with slow convergence speed, low accuracy, and poor global search ability, a multistrategy hybrid adaptive (MHWOA) was proposed. In this algorithm, logistic–tent chaos used to initialize population, which could make population distribution more random uniform. The opposition-based learning strategy adopted expand individuals c...

Automatic programming (AP) is an important area of Machine Learning (ML) where computer programs are generated automatically. Swarm Programming (SP), a newly emerging research in AP, automatically generates the using Intelligence (SI) algorithms. This paper presents two grammar-based SP methods named as Grammatical Moth-Flame Optimizer (GMFO) and Whale (GWO). The Optimization algorithm used sea...

Cetaceans evolved flippers that are unique in both size and shape probably due to selection pressures associated with foraging and body size. Flippers function as control surfaces for maneuverability and stability. Flippers of cetaceans and engineered hydrofoils are similar with streamlined cross-sections and wing-like planforms, which affect lift, drag and hydrodynamic efficiency. Scale models...

Seagull optimization algorithm (SOA) inspired by the migration and attack behavior of seagulls in nature is used to solve global problem. However, like other well-known metaheuristic algorithms, SOA has low computational accuracy premature convergence. Therefore, current work, these problems are solved proposing modified version SOA. This paper proposes a novel hybrid algorithm, called whale wi...