Hamid Reza Karimi

TL;DR: The developed model is represented as a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively, and a genetic algorithm approach is proposed for estimating the parameters of vehicle front structure and restraint system.

TL;DR: In this paper , the authors investigated the measurement outlier-resistant target tracking problem in WSNs with energy harvesting constraints and developed a solution for the considered target tracking by devising the filter including a saturation constraint such that, in the simultaneous presence of outliers and the SE-IMM phenomenon, the tracking performance can meet the given performance index.

TL;DR: In this article, an artificial neural network (ANN) was used to predict the future droughts in Ilam and Dehloran stations in Iran using the data of temperature, precipitation, relative humidity, wind speed, and monthly sunny hours in the period of 1983-2013.

TL;DR: In this paper, the authors proposed a multi-objective control approach, which means that they want to achieve several control objectives at the same time, e.g. maximize the power output while mitigating any unwanted oscillations in critical parts of the wind turbine structure.