Driver Drowsiness Detection System - Python-based Desktop application that uses computer vision and machine learning techniques to detect signs of drowsiness in drivers

A hands-on collection of 9 projects exploring neural networks, fuzzy logic, and genetic algorithms, designed to apply computational intelligence to real-world problems with full implementations and thoughtful evaluations.

Proyek ini mengimplementasikan Fuzzy Inference System (FIS) untuk menilai potensi ekonomi regional di Provinsi Sulawesi Tenggara menggunakan metode Mamdani dan Sugeno.

Fuzzy logic is a powerful tool for developing control systems, especially in situations where there is a lot of uncertainty and imprecision. Here is one possible fuzzy system that could be used to solve the Mountain Car Continuous problem.

A Python-based Fuzzy Logic system (Mamdani & Sugeno) to evaluate and classify vehicle performance based on engine capacity, fuel efficiency, and price using 2019-2020 market data.

Federated Fuzzy Inference System

A Fuzzy Expert System for AstronoHybrid fuzzy expert system for sleep apnea detection from ECG signals using calibrated ML ensemble and interpretable fuzzy logic (XAI).mical Object Classification Using SDSS Photometric Data

Implementation of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for liver disease prediction using the Indian Liver Patient Dataset.

A Python simulation environment for dynamic Computation Offloading in Mobile Edge Computing (MEC) systems. Implements a Fuzzy Logic Controller (FLC) to optimize delay and energy consumption against local and random baselines. Designed for Computational Intelligence course assignments

Rule based expert system that uses fuzzy logic and uncertainty managment using python sk-fuzzy and flask for the UI

Fuzzy logic implementation using python

Comparison of Fuzzy Logic expert systems and Machine Learning models for diabetes risk prediction.