This work proposes an adaptive Multi-Input and Single-Output fuzzy controller which is
designed in a supervisory manner for a multi-agent system. This paper mainly aims to …

This work aims at developing a novel pathological brain detection system (PBDS) to assist
neuroradiologists to interpret magnetic resonance (MR) brain images. We simplify this …

Abstract Combined Heat and Power (CHP) is the one of new energy resources which has
been added to power system in recent years. High efficiency, Loss reducing of power system …

Ecological and economics issues are caused to give careful consideration to electric
vehicles (EV) and sustainable power source assets. One of the proposed answers for …

Drug synergy prediction plays a significant role in the medical field for inhibiting specific
cancer agents. It can be developed as a pre-processing tool for therapeutic successes …

Application of predictive models in industrial multiphase flow metering has attracted an
increasing attention recently. Void fraction (VF), water–liquid ratio (WLR), and flow regime …

Due to the increasing penetration of renewable energy sources (RES), frequency regulation
has become more challenging. In electrical power network, the load frequency control (LFC) …

abstract Water quality prediction plays a vital role in water pollution warning and control.
However, traditional prediction models usually suffer from low efficiency and poor …

This paper investigates the split complex gradient descent based neuro-fuzzy algorithm with
self-adaptive momentum and L 2 regularizer for training TSK (Takagi–Sugeno–Kang) fuzzy …

With the recent emergence of wireless sensor networks (WSNs) in the cloud computing
environment, it is now possible to monitor and gather physical information via lots of sensor …