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AlinaBaber/Wireless-ad-hoc-network-FANET-Simulation-MatLab

Stars
11
Rank 1,694,829 (Top 34 %)
Language
MATLAB
Created almost 2 years ago
Updated almost 2 years ago

AlinaBaber/Wireless-ad-hoc-network-FANET-Simulation-MatLab

AlinaBaber

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NeuralNetwork-Fuzzy-logic-based-self-tuned-PID-controller-for-Autonomous-underwater-vehicle-MatLab

ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

Arabic-Speech-Recognition-by-Machine-learning-and-feature-extraction-API

This project implements an Arabic Speech Recognition system using an ensemble voting classifier. The model is built with Python and utilizes the Librosa library for preprocessing and feature extraction.

Liver-Tumor-Segmentation-Detection-by-ResUNET

This repository contains the implementation of the Liver Tumor Segmentation and Detection model using the ResUNET architecture. The goal of this project is to develop a deep learning model that can accurately segment liver tumors from medical images, aiding in diagnosis and treatment planning.

Jupyter Notebook

Job-Portal-Django-WebApp-Resume-Analysis-Scoring-NLP-ML

This project is a Django-based web application that focuses on resume analysis and scoring using advanced Natural Language Processing (NLP) techniques and machine learning models, including LSTM-based classification.

Speech-Emotions-Recognition-by-feature-extraction-and-machine-learning-MatLab

Fruit-Quality-Recogntion-MachineLearning-ImageProcessing-MatLab

Speech-Emotions-Recognition-by-feature-extraction-and-Deep-learning-MatLab

Berlin-Data-Voice-Gender-Recognition-by-feature-extraction-and-machine-learning-MatLab

Arabic-Speech-Recognition-by-Machine-learning-and-feature-extraction

This project implements an Arabic Speech Recognition system using an ensemble voting classifier. The model is built with Python and utilizes the Librosa library for preprocessing and feature extraction.

Jupyter Notebook

Customer-Reviews-Analysis-with-Machine-Learning-Deep-Learning---STV-Voting-Method

In this project, the user writes a review of a cosmetics product, and Sentiment Analysis detects positive or negative sentiment in the text, which is frequently used to improve the business's reputation among their customers. We developed Robust STV Modelling algorithm to improve the products reviews sentiment analysis with Natural Language Process

Jupyter Notebook

Llama3-RAG-Microservice-Django-based-Rest-Api

The core feature of this microservice is the implementation of a Retrieval-Augmented Generation (RAG) system, allowing for the retrieval of relevant documents or information to augment the language model's responses.

Robotic-Path-Tracking-with-Q-Learning-and-SARSA

The project titled "Robotic Path Tracking with Q-Learning and SARSA" focuses on the application of reinforcement learning to the task of robotic path tracking.