Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...
Abstract: This letter proposes a hybrid grey wolf optimization-artificial neural network (GWO-ANN) method for designing filtering patch antennas with high out-of-band suppression and in-band gain ...
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Mastering algorithms from idea to execution
From designing algorithms to analyzing their efficiency, understanding these core concepts is key to solving problems in computer science. Time and space complexity guide us in choosing the best ...
The recursive least-squares (RLS) adaptive filtering algorithm is frequently used in system identification problems. The popularity of this algorithm is mainly related to its fast convergence rate. In ...
This repository contains the solutions to the practicals for the Analysis of Algorithms (ADA) course. Each practical's aim, code, complexity analysis, and output are detailed below.
As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new method, named hyperFA*IR, offers a more principled approach when picking ...
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