Discover doguilmak/Global-Geopotential-Models Open Source project

Building models that can predict whether an area is at risk of a wildfire or not on satellite images.

Wildfire-Prediction-from-Satellite-Imagery

This repository provides a dataset and model for real-time drone detection using YOLOv8, contributing to enhanced security and privacy protection. Join us in advancing drone detection technology for safer environments.

Drone-Detection-YOLOv8x

In this project, you will be able to access the games and codes that I made which are shown to us in the Game Theory lecture.

Game-Theory

Making mathematical calculations and filtering on GNSS data.

GNSS-Data-Processing-with-RINEX-Observation-Data

Satellite photographs taken by the Sentinel-2 were classified with pre-trained ResNet-50 and VGG16 models. In addition made CAM model.

Classify-Trees-from-Satellite-Imagery

Calculating internal forces (M, N, T) and reactions of supports in the bridge structure using spring and plane frame elements.

Reactions-and-Internal-Forces-on-the-Bridge

Apply object detection with Faster R-CNN to classify predetermined objects using objects name and/or to use the likelihood of the object.

Object-Detection-with-Faster-R-CNN

The aim is to use the eight features to predict each of the two responses (heating and cooling loads) with multi-output architecture.

Predict-Heating-and-Cooling-Load

TACO: Precise trash detection with YOLOv7x. Detect and classify trash items for a cleaner environment. Easy-to-use and customizable.

TACO-Trash-Annotations-in-Context-YOLOv7x

In this project, I would like to present 4 different anomaly detection algorithms (Local Outlier Factor, Elliptic Envelope, One Class SVM, Isolation Forest) with an example.

Anomaly-Detection

The aim of the project is plotting the time dilation based on gravity and height over geoid with contour lines (on planet Earth).

General-Relativity-Time-Dilation-on-Earth

Multi-output and XGBoost models have been created which can estimate numbers of the solar flares production in specific region on sun in the following 24 hours.

Predicting-Solar-Flares

Clustering eartquakes based on several parameters (based of their location, depth and magnitude) with DBSCAN.

Clustering-Significant-Earthquakes-in-Japan

Website was created that allows you to make X-ray diagnosis prediction by using the CNNs machine learning algorithm model.

X-Ray-Classification-Website-with-Flask-1

HTML

Satellite-Tracking-with-Frame-Transformations

Satellite tracking on the polar graph with frame transformations.

In this repository, I will share with you what we did step by step in the Mobile Application Development course taught by Kerim Kürşat Çevik at Akdeniz University, where we work with Mert Bozbaş.

Learn-Java-in-Mobile-Application-Development-Course

Java

Rock-Paper-Scissors-with-Thompson-Sampling

The aim of this project is to achieve maximum success by the algorithm in the rock-paper-scissors game with the reinforcement learning.

Create relation between the people who buy the products and the products they might buy with the association rules analysis.

Shopping-with-Association-Rules-Analysis

The magnitude of the earthquakes in Turkey was clustered by DBSCAN. Datas taken from Kandilli Observatory and Earthquake Research Instıtute (KOERI) and AFAD Event Catalog.

Clustering-Earthquakes-in-Turkey

In the project, within the scope of the Computer Vision course with the code 02010012 given by the Faculty of Computer Engineering, cat and dog classification was made with the VGG-16 architecture.

Cat-Dog-Classification-with-VGG-16

YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.

Leaf-Detection-YOLOv7x

Perifocal and earth-centered inertial coordinate transformation with using Python and Excel.

Perifocal-and-ECI-Coordinate-Transformation

Predicting disposition with XGBoost and Artificial neural networks and the confidence in the KOI Disposition with Multiple linear regression.

Predict-Kepler-Exoplanet-Search-Results

This project aims to streamline the operations of a restaurant, making it easier for restaurant owners and staff to manage menus, bookings, and customer information efficiently.

Restaurant-and-Cafe-API

The purpose of this study is based on the data, I want to classity and estimate maintenance failure types with XGBoost and Artificial neural networks.

Classify-Failure-Maintenance-Failure-Types

Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening.

Spatial-Filtering-with-OpenCV