phd-cs
Master degree in Robotics and Automation l Master degree in Artificial Intelligence l Computer Science and Engineering.
Sweden
Pinned Repositories
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.
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.
Developing-Submarine-for-Monitoring-Water-Quality-through-a-Cooperative-and-Innovative-Approach
This is my Bachelor's thesis
Image-Transpose-and-enhancement
GPU Programming
K-means-Clustering
Learning-Systems-Generalization
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.
Reinforcement-Learning
Using reinforcement learning to optimally solve a Markov Decision process
phd-cs's Repositories
phd-cs/K-means-Clustering
phd-cs/Developing-Submarine-for-Monitoring-Water-Quality-through-a-Cooperative-and-Innovative-Approach
This is my Bachelor's thesis
phd-cs/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
phd-cs/Image-Transpose-and-enhancement
GPU Programming
phd-cs/Learning-Systems-Generalization
phd-cs/Anomaly-Detection2
detecting anomalies in high dimensional data
phd-cs/Automatic-diagnosis-of-Alzheimer-s-disease-using-Deep-Learning
phd-cs/Creating-a-2D-Puzzle-Framework
phd-cs/Customer-Churn-Prediction-in-Telecommunications-Industry
phd-cs/Image-Segmentation-using-CNNs
design a CNN-based **encoder-decoder architecture** to segment rgb images
phd-cs/K-Nearest-Neighbors-GPU-version
phd-cs/Learning-System-ANN
phd-cs/Learning-Systems-Classification
phd-cs/Learning-Systems-Regression
phd-cs/Learning-Systems-SVM
phd-cs/operating-system-kernel-RMTK
RMTK highlights its core functionalities, task management, mailbox-based communication, and timing functions.
phd-cs/Weather-Impact-Analysis-Data-Mining
Weather Impact Analysis: Investigate how weather conditions (wind, sea currents,waves) affect fuel consumption on vessels
phd-cs/ArUco-Marker-Based-Object-Detection-and-Measurement
Image preprocessing using OpenCV and ArUco markers for object detection and measurement in a machine vision context. It includes functionalities to detect ArUco markers, calculate a pixel-to-centimeter ratio for object measurement, and identify specific objects like credit cards and AAA batteries with precision.
phd-cs/Automation-of-Crane-Simulation-using-Modbus-TCP-and-Python
You need to download the simulation application:
phd-cs/Company_Managment_Program
a management program for a Company
phd-cs/Data-Security-for-Embedded-Systems
IT Security, Phishing, Cryptography, RSA, SSL, and Advent of Code Challenge.
phd-cs/Data-Security-for-Embedded-Systems2
Kerberos, PIN Verification, and Protocol Fix
phd-cs/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.
phd-cs/Facial_Recognition_Using_Siamese_Network
phd-cs/Image-Classification-using-CNNs
phd-cs/Machine-Vision-using-OpenCV-and-NumPy
This repository contains solutions for Machine Vision exploring foundational image processing tasks using OpenCV and NumPy. Topics include image reading, color value extraction, binarization, color channel separation, edge detection, object position identification, and orientation estimation.
phd-cs/MLP-Regression-Task
phd-cs/Regression-using-Recurrent-Neural-Networks
phd-cs/Smart-Home-Project
The Smart Home system records temperatures, offers date/time adjustment, displays 7-day data, and provides debugging and light optimization via a user-friendly menu
phd-cs/Spark-Machine-Learning