hammoud-m Goto Github PK

3d-cnn-model-to-predict-the-diagnosis-of-azheimer-s-disease

Predicting the diagnosis of Azheimer’s disease, and mild cognitive impairment using 3D CNN model and brain 18F-FDG PET brain scans

ai-agent-poker

An AI agent for a 5-card poker game. The agent is designed as a reflex agent, meaning it acts based on the strength of its hand without considering the opponent's bidding. The underlying strategy is to use machine learning, game theory, and decision-making algorithms to adapt and improve the agent's performance over time.

ai-agents

The four agent types implemented in this lab are random, fix, reflex, and memory agent for both applications. The applications are: - Mobile robot application: is about a robot that collects energy blocks. - Simplified poker game: is about winning more coins and rounds.

algorithms-and-data-structures

anomaly-detection

working with detecting anomalies in data using basic Python libraries and the PyOD library for detecting anomalies.

anomaly-detection2

detecting anomalies in high dimensional data

automatic-diagnosis-of-alzheimer-s-disease-using-deep-learning

bayesian-network

The objective of this lab is to learn how to construct Bayesian Network from data, learn how to implement Na¨ıve Bayes algorithm for classification tasks, and how to use Bayesian Network and Na¨ıve Bayes for inference.

company_managment_program

a management program for a Company

computer-systems-organization-assembly

creating-a-2d-puzzle-framework

customer-churn-prediction-in-telecommunications-industry

data-exploration

Exploring and preparing a dataset for data mining tasks

data-security-for-embedded-systems

IT Security, Phishing, Cryptography, RSA, SSL, and Advent of Code Challenge.

data-security-for-embedded-systems2

Kerberos, PIN Verification, and Protocol Fix

developing-submarine-for-monitoring-water-quality-through-a-cooperative-and-innovative-approach

This is my Bachelor's thesis

exploring-association-rule-mining

explore association rule mining with Apriori and Networkx libraries. Covers Market Basket Analysis concepts, interestingness measures (support, confidence, lift, conviction), tasks for rule calculation, real-world credit dataset analysis, and discusses entropy's relation to itemset frequency.

facial_recognition_using_siamese_network

image-classification-using-cnns

image-segmentation-using-cnns

design a CNN-based **encoder-decoder architecture** to segment rgb images

image-transpose-and-enhancement

GPU Programming

k-means-clustering

k-nearest-neighbors-gpu-version

learning-system-ann

learning-systems-classification

learning-systems-generalization

learning-systems-regression

learning-systems-svm

mlp-regression-task

monte-carlo-simulation

This Java code uses Monte Carlo simulation to analyze intricate stochastic systems, estimating the likelihood of specific events based on predefined probabilities. It includes an analytical formula for result validation, making it a valuable tool for probabilistic scenario analysis in fields like finance and engineering.