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Internet of Things (IoT)

Internet of Things (IoT): A Beginner’s Guide

Introduction A network of physically connected things that can communicate and share data online is referred to as the “Internet of Things” (IoT). These devices could be anything from ordinary…

Multilayer Perceptron (MLP): Architecture, Working & Applications in Neural Networks

What is Multilayer Perceptron (MLP) ? An input layer, one or more hidden layers, and an output layer are among the several layers of neurons that make up a multilayer…

Artificial Neural Networks (ANN): Architecture, Learning Process & Applications in AI

ANN Algorithm A computational model called an artificial neural network (ANN) is modeled after the composition and operations of the human brain. It is a crucial part of deep learning…

The Foundations of Deep Learning

Because deep learning can learn from and make predictions based on large volumes of data, it has become a game-changing technology that has allowed for substantial breakthroughs in a variety…

Data Mining Concepts, Techniques and Applications

Introduction of Data Mining Organizations are producing enormous volumes of data from a variety of sources in today’s data-driven environment, from social media interactions to IoT devices and transactional databases.…

Genetic Algorithm (GA)

Genetic Algorithm (GA) The search and optimization method known as a genetic algorithm (GA) is based on the ideas of evolution and natural selection. It is a heuristic method that…

Firefly Algorithm

Firefly Algorithm Xin-She Yang created the Firefly Algorithm (FA), a metaheuristic optimization method inspired by nature, in 2008. It draws inspiration from fireflies’ bioluminescent communication, in which they use light…

Lion Optimization Algorithm (LOA)

Lion Optimization Algorithm (LOA) Based on lions’ social behavior and hunting tactics, the Lion Optimization Algorithm (LOA) is a metaheuristic optimization algorithm inspired by nature. In order to find the…

Particle Swarm Optimization (PSO) Algorithm

PSO Algorithm The metaheuristic optimization technique known as Particle Swarm Optimization (PSO) was motivated by the collective movement of fish schools or flocks of birds. It is used to iteratively…

Ant Colony Optimization (ACO) Algorithm: Nature-Inspired Solution for Complex Optimization Problems

ACO Algorithm Based on the feeding habits of actual ant colonies, Ant Colony Optimization (ACO) is a metaheuristic optimization technique inspired by nature. It was first presented by Marco Dorigo…