This study investigates the use of artificial neural network (ANN) modelling to predict brake
power, torque, break specific fuel consumption (BSFC), and exhaust emissions of a diesel …

In this paper, an alternative method to predict the noise of a submersible Axial Piston Pump
(APP) for different valve seat materials is presented. The proposed method is composed of …

Accurate prediction of solar radiation is essential for optimal design of solar systems. This
paper presents an innovative artificial intelligence approach for the determination of the …

Today's researchers have made concerted efforts to benefit from biodiesel and to achieve
better combustion due to its higher cetane number in comparison to that of diesel. The major …

This study presents an integrated fuzzy system, data mining and time series framework to
estimate and predict electricity demand for seasonal and monthly changes in electricity …

A 3D modeling of the fluid dynamics and heat transfer in an advanced free-piston Stirling
engine was conducted. The transient and conjugate fluid dynamics and thermodynamics of …

This paper deals with modeling and performance analysis of the voltage/frequency (V/f)
control of induction motor drives. The V/f control, which realizes a low cost and simple …

In this paper, a new method of tuning Proportional Integral (PI) coefficients for a permanent
magnet brushless DC (PMBLDC) motor drives is proposed. Artificial neural network is used …

This study proposes an innovative hybrid approach for the estimation of the long-term
electricity demand. A new prediction equation was developed for the electricity demand …

This paper describes the shape optimization of a low specific speed centrifugal pump at the
design point. The target pump has already been manually modified on the basis of empirical …