The motion planning problem of the manipulator can be described as follows. In 1995, Kennedy and Eberhart (1995) proposed a particle swarm optimization algorithm based on the idea of birds foraging.
a non-local mean filtered two-dimensional histogram was used to remove the noise in disease images and a new elite strategy improved comprehensive particle swarm optimization (PSO) method was used to ...
To overcome the drawbacks, we develop a new algorithm in this paper which improves Particle swarm optimization with Adaptive local optimization (ALO-PSO). Simulation experiments performed on NIR image ...
The spout-bed fluidization behavior of nonspherical, 140 μm SiC feedstock was quantified via particle image velocimetry for varying gas ... and fluidized bed motion was captured using a high-speed ...
NEW YORK (AP) — A neutrino detector submerged in the Mediterranean Sea has sniffed out the most energetic ghost particle yet, ...
A huge detector in the Mediterranean Sea spotted the most energetic neutrino from space to date. The particle could shed light on the universe’s most extreme phenomena.
Why do our mental images stay sharp even when we are moving fast? A team of neuroscientists led by Professor Maximilian Jösch ...
Particle detectors play a crucial role in our understanding of the fundamental building blocks of the universe. They allow ...
The European Southern Observatory (ESO) has released a stunning 80 million-pixel image of the star cluster RCW 38, as captured by ESO's Visible and Infrared Survey Telescope for Astronomy (VISTA), ...
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