Abstract: Electromagnetic (EM) methods are widely used for mapping subsurface electrical resistivity structures. Interpreting geophysical EM data often involves solving inversion problems with ...
Swarm Chorus™ combines machine learning insights and expert systems, empowering facility teams to streamline HVAC service operations directly from their desktops, mitigating the need for multiple ...
Purpose: This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke ...
ABSTRACT: The study of the mechanical behavior of skin tissue is essential for various biomedical applications, ranging from reconstructive surgery to the design of medical devices. This work compares ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
A next-generation technology developed in 2023, conversational swarm intelligence (CSI), combines the principles of ASI with the power of large language models. Humans are not the only species that ...
Learning a new skill can be difficult, especially when it’s relatively complex. It’s often hard to keep definitions, concepts, and descriptions straight when you’re trying to make inroads into an area ...
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
Design of a fixed point FIR Notch filter to remove 50Hz noise from an electroencephalogram signal, by minimizing quadratic error using Particle Swarm Optimization ...
Abstract: Optimization techniques are getting importance in control and power system of sustainable energy technologies. Particle Swarm Optimization is aversatileoptimizing technique. Due to its ...
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