Android malware is rapidly becoming a potential threat to users. The number of Android malware is growing exponentially; they become significantly sophisticated and cause potential financial and information losses for users. Hence, there is a need for effective and efficient techniques to detect the Android malware applications. This paper proposes an intelligent hybrid approach for Android mal...

This article presents the modeling and development of a DC-DC converter with Partial Swarm Optimization Distinctive Feed Forward Propagation (PSO-DFFP) controller for hybrid power systems, including photovoltaic panels. The transient dynamic analysis proposed has been presented. PSO-DFFP designed to improve operating efficiency reduces input current ripple. ANFIS PSO DFFP controllers are develo...

This study investigates the prediction model of compressive strength of self–compacting concrete (SCC) by utilizing soft computing techniques. The techniques consist of adaptive neuro–based fuzzy inference system (ANFIS), artificial neural network (ANN) and the hybrid of particle swarm optimization with passive congregation (PSOPC) and ANFIS called PSOPC–ANFIS. Their perf...

Sediment transport in the ejector is highly stochastic and non-linear nature, its accurate estimation a complex challenging mission. This study attempts to investigate sediment removal of using newly developed hybrid data-intelligence models. The proposed models are based on hybridization adaptive neuro-fuzzy inference systems (ANFIS) with different metaheuristic algorithms, namely, particle sw...