This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …

Traditional K-Means based distributed clustering used in wireless sensor networks has
limitation of getting stuck into local minima, thus many times results in giving inaccurate …

In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the
basis of the last‐eliminated principle to solve optimization problems in engineering design …

This paper presents an active realization of fraction order Butterworth lowpass filter using a
differential voltage current conveyor (DVCC) and two fractance devices (FDs). Initially, the …

Optimization by definition is the action of making most effective or the best use of a resource
or situation and that is required almost in every field of engineering. In this work, the …

This paper developed a new and efficient approach, the metaheuristic optimisation
approach based on the Kalman filter (KF), to accurately identify the infinite impulse response …

Multi-objective clustering algorithms have superiority over its single objective counterparts
as they include additional knowledge on properties of data in the form of objectives to …

The approach presented in this paper addresses the machining process optimization
problem through realistic modeling of multi-pass operations. It is designed to determine, at …

为解决无人机在执行输电线路巡检工作过程中易受环境干扰, 以及传统单人单机工作模式巡检
效率低下等问题, 提出基于改进鸽群层级算法的无人机集群视觉巡检模型 …

The laser gyroscope of Laser Inertial Navigation System (LINS) eliminates the influence of
the locked zone with mechanical dither. The output information of laser gyroscopes must be …