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  • Language
    Java
  • Created about 3 years ago
  • Updated over 2 years ago

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Repository Details

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.

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1

Drone-Detection-YOLOv7

Introducing a curated dataset for drone detection and a state-of-the-art YOLOv7 model, enabling real-time and accurate identification of drones in complex environments.
Jupyter Notebook
11
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2

Wildfire-Prediction-from-Satellite-Imagery

Building models that can predict whether an area is at risk of a wildfire or not on satellite images.
Jupyter Notebook
6
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3

Drone-Detection-YOLOv8x

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.
Jupyter Notebook
6
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4

Game-Theory

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.
Python
6
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5

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

Making mathematical calculations and filtering on GNSS data.
MATLAB
6
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6

Classify-Trees-from-Satellite-Imagery

Satellite photographs taken by the Sentinel-2 were classified with pre-trained ResNet-50 and VGG16 models. In addition made CAM model.
Jupyter Notebook
5
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7

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

Calculating internal forces (M, N, T) and reactions of supports in the bridge structure using spring and plane frame elements.
MATLAB
3
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8

Object-Detection-with-Faster-R-CNN

Apply object detection with Faster R-CNN to classify predetermined objects using objects name and/or to use the likelihood of the object.
Jupyter Notebook
3
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9

Predict-Heating-and-Cooling-Load

The aim is to use the eight features to predict each of the two responses (heating and cooling loads) with multi-output architecture.
Jupyter Notebook
3
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10

TACO-Trash-Annotations-in-Context-YOLOv7x

TACO: Precise trash detection with YOLOv7x. Detect and classify trash items for a cleaner environment. Easy-to-use and customizable.
Jupyter Notebook
2
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11

Anomaly-Detection

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.
Python
2
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12

General-Relativity-Time-Dilation-on-Earth

The aim of the project is plotting the time dilation based on gravity and height over geoid with contour lines (on planet Earth).
MATLAB
2
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13

Global-Geopotential-Models

In this repository we plot gravity, height and geoid heights via data downloaded from ICGEM and compared EGM98 and EGM2008 models.
MATLAB
2
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14

Predicting-Solar-Flares

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.
Jupyter Notebook
2
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15

Clustering-Significant-Earthquakes-in-Japan

Clustering eartquakes based on several parameters (based of their location, depth and magnitude) with DBSCAN.
Jupyter Notebook
2
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16

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

Website was created that allows you to make X-ray diagnosis prediction by using the CNNs machine learning algorithm model.
HTML
1
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17

Satellite-Tracking-with-Frame-Transformations

Satellite tracking on the polar graph with frame transformations.
MATLAB
1
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18

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.
Python
1
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19

Shopping-with-Association-Rules-Analysis

Create relation between the people who buy the products and the products they might buy with the association rules analysis.
Jupyter Notebook
1
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20

Clustering-Earthquakes-in-Turkey

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.
Jupyter Notebook
1
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21

Cat-Dog-Classification-with-VGG-16

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.
Jupyter Notebook
1
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22

Leaf-Detection-YOLOv7x

YOLOv7-based leaf object detection for agriculture. Accurate crop management and weed control.
Jupyter Notebook
1
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23

Perifocal-and-ECI-Coordinate-Transformation

Perifocal and earth-centered inertial coordinate transformation with using Python and Excel.
Python
1
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24

Predict-Kepler-Exoplanet-Search-Results

Predicting disposition with XGBoost and Artificial neural networks and the confidence in the KOI Disposition with Multiple linear regression.
Jupyter Notebook
1
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25

Restaurant-and-Cafe-API

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.
Python
1
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26

Classify-Failure-Maintenance-Failure-Types

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.
Python
1
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27

Spatial-Filtering-with-OpenCV

Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening.
Jupyter Notebook
1
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