Neurofuzzy Semantic Similarity Measurement

A simple control system framework that provide tools for feedback controllers such as PID controller, kalman filters, fuzzy controller

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

C++ code generation from FIS Type-1

Application of Fuzzy Logic for Sprinkler Controller in Drip Irrigation

Matlab simulation for IS-95A, with Fuzzy Logic controller

A python-based application that utilizes Kalman Filter to process data from GPS, speedometer, and accelerometer sensors to estimate the position of a vehicle.

Familiarization with Fuzzy Logic Designer Toolbox of MATLAB. Implementation of rules base, for a PI Fuzzy controller, a self driving car and development of neuro-fuzzy models.

I designed a fuzzy controller in order to solve the inverted pendulum problem.

Khepera robot fuzzy controller using C language programming

Projects on Fuzzy Logic, MLP and RBF Neural Networks

This repository contains the complete implementation of a distributed CPS (Cyber-Physical System) for monitoring and controlling a small-scale greenhouse. The project combines a custom physical prototype, embedded firmware, cloud services, computer vision, a retrieval-augmented horticulture assistant, and a Flutter mobile application.

Computational Intelligence Project — Intelligent Traffic Control with Fuzzy Logic + PSO + ACO

This repo contains all the Assignment given in CS571 course.

This repository contains implementations for the projects in my AI course, instructed by Dr. Mehdi Ghatee.

Реализация нечеткого контроллера на Rust

Repository dedicated to storing the codes for the second project of the C213 - Embedded Systems course at INATEL - Instituto Nacional de Telecomunicações. This repository contains a project developed for a system that uses Fuzzy Logic to perform corrections and optimizations within the system.

Academic Projects for the cource Computational-Intelligence,applies fuzzy logic PI controller,a simple fuzzy controller for obstacle avoidance and fuzzy neural networks such as TSK models for regression and classification problems