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Engineering Finite Element Analysis Mathematics Matlab and Mathematica Python
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Hesham H.

@HeshamAbdo29

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5,0
30

5,8

5,8

100%

Aerospace / Robotics Engineer

$20 USD / Stunde

・

Flagge von

Egypt (4:01 AM)

・

Joined on Juli 25, 2021

・

6 Empfehlungen

$20 USD / Stunde

・

A graduated aerospace engineer, and a MSc. student in Flight Mechanics and Control, actively working as an AI Engineer. - Strong foundation in mathematics, system mechanics, aerodynamics, propulsion systems, mechanical design, finite element methods, computational fluid dynamics, guidance, navigation and control. - Professional work experience in UAV development, robotics, artificial intelligence, and Software Developmnet. - Technical skills: -- SolidWorks, ANSYS, XFLR, OpenFoam, AutoCAD, and Femap. -- Matlab & Simulink, C programming, Embedded C, Arduino, and Proteus. -- Python, C++ programming, ROS/ROS2, URDF, Gazebo and CoppeliaSim. -- PX4, Ardupilot, and DJI SDK. -- Pytorch, TensorFlow, Transformers, OpenCV, Scikit-Learn, Langchain, Crewai, and others.. -- Docker, Git/Github, Linux administration, and CUDA.

Überprüfungen

Pünktlich

100 %

Im Budget

100 %

Annahmequote

96 %

Wiederholungsquote beim Engagieren

38 %

Freelancer Matlab and Mathematica Engineers Egypt
Alle Matlab and Mathematica Engineers in Egypt ansehen

Portfolio

Portfolio

11018189
Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

10798592
Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

10768260
A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

10762350
Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

9678568
On this project, I've developed and manufactured with my team of colleagues a Canard UAV aircraft that qualifies to run a specific mission on a specific track, with a specified (electrical) propulsion system, to join a local DBF (Design-build-and fly) competition of Cairo University. The aerodynamic design was developed on XFLR5, all required stability criteria are checked as well, the detailed structural design is made on SolidWorks (as shown in picture).

Canard UAV Design on Solidworks

11018189
Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

Development of an imaginary Italian lottery Game using Python's Kivy framework, the app is packaged on both Desktop and Android with different settings to fit the different environments. It's available in both offline and online versions. A database is created using sqlite for this app, the app connects to the database, which is updatable through the internet, and the app listens to any changes, this database has imaginary lottery winning numbers on different dates and regions in Italy. The app then makes predictions based on some algorithm and find the number of repetitions for the lottery numbers based on the user's time span and regions, the app also visualizes the numbers using openCV. There's an additional option to search for the largest number of repetitions to find the best numbers through the imaginary lottery. There are also so many different options to do different operations and predictions, the user can also save search results to txt file, and read them anytime he wants.

Python App Development using Kivy (Lottery Game)

10798592
Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

Modeling a full-scale single-rotor helicopter given some referenced flight characteristics in both forward and axial flight modes with Matlab, the inflow has been modeled at a given angle of incidence at different linear twists, rotor thrust and power have been calculated, forces and moments have been calculated with differential equations with the use of linearization with respect to the control angles, and the trim problem has been solved.

Modeling a full-scale single-rotor Helicopter

10768260
A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

A large python code to perform image processing for medical anomaly detection of x-ray images, the input image is based on DCIOM standards, the code then get a patch of the image and perform some patch analysis (standard deviation, entropy, kurtosis and skewness), then measured the MTF (Modulation Transfer Function), NPS (Noise Power Spectrum) of the patch vs sampling frequency (pixel/mm), and pixel variance. Many data analysis and image processing libraries been used in this project, including scikit-image, scikit-learn, numpy and scipy, and opencv.

Image Processing with Python for medical anomaly detection

10762350
Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

Created a 2D simulation of a deformation of Aluminium sheet placed on another hollow steel sheet with a tool and die, programming was based on Object-oriented with python.

FEM Simulation of shearing metal Sheet with Python

9678568
On this project, I've developed and manufactured with my team of colleagues a Canard UAV aircraft that qualifies to run a specific mission on a specific track, with a specified (electrical) propulsion system, to join a local DBF (Design-build-and fly) competition of Cairo University. The aerodynamic design was developed on XFLR5, all required stability criteria are checked as well, the detailed structural design is made on SolidWorks (as shown in picture).

Canard UAV Design on Solidworks

5.0 · 30 Rezensionen
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UAV Control • $400 USD

Everything is OK. Hope to work with you again!

Tu N.

@mintus1709

•

Flagge von

TRANG BOM DISTRICT, Vietnam

•

vor 10 Monaten

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Drone Autonomous Control System Development • $700 USD

Very knowledgeable and talented freelancer. Always takes time to explain complex concepts and use simple language to do that. Highly recommending him for complex works.

Tymur K.

@tymoork

•

Flagge von

, United Arab Emirates

•

vor 1 Jahr

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A

Biological Systems Simulation in Matlab • $35 USD

He know what you want Best expert ever

Aiad A.

@Alen008

•

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Dammam, Saudi Arabia

•

vor 1 Jahr

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Robotics Control Systems Simulation in Matlab • $1.334,01 USD

Highly Recommended to working with him for any ML/DL of LSTM AND CNN like a team. You will got a perfect results and friendship

Hamza N.

@enghamza12

•

Flagge von

Palestine, Palestinian Territory

•

vor 1 Jahr

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Nonlinear Missile Control via Matlab/Simulink • $400 USD

Everything is Perfect. Hope to work with you again!

Tu N.

@mintus1709

•

Flagge von

TRANG BOM DISTRICT, Vietnam

•

vor 2 Jahren

Teilen

Erfahrung

AI Engineer

Sept., 2024 - Aktuell

•

1 Jahr, 5 Monate

Kemet Artificial Intelligence

Sept., 2024 - Aktuell

•

1 Jahr, 5 Monate

Cutting-edge AI projects in machine learning, deep learning, computer vision and NLP. Project structuring, model benchmarking, optimization, and deployment (in Docker, with Flask endpoints).

Flagge von

Cairo, Egypt

Sept., 2024 - Aktuell

•

1 Jahr, 5 Monate

Autonomous System Engineer

Sept., 2019 - März, 2020

•

6 Monate, 1 Tag

UAV Development Center in Cairo University

Sept., 2019 - März, 2020

•

6 Monate, 1 Tag

- Hands-on experience with autonomous system components (ESCs, brushless motors, Autopilots, Lipo batteries, telemetry, GPS, and soldering). - Design, manufacturing and flight testing of an autonomous fixed-wing UAV using a PX4-Pixhawk autopilot. Documenting the work done using Git/GitHub.

Sept., 2019 - März, 2020

•

6 Monate, 1 Tag

Bildung

Cairo University

2016 - 2021

•

5 Jahre

Bachelor in Aerospace Engineering

Flagge von

Egypt

2016 - 2021

•

5 Jahre

Qualifikationen

Deep Learning Specialization (5 Courses)

2021

Coursera - DeepLearning.AI

- Learned and programmed Deep, Convolutional and Recurrent Neural Networks - Learned optimization, regularization, and hyperparameter tuning in machine learning projects - Learned the strategies of structuring Machine Learning Projects - Implemented a total of 25 programming assignments with Python and machine learning frameworks like TensorFlow and Keras

2021

Artificial Intelligence A-Z: Learn How to Build an AI

2021

Udemy

- Reviewed of basic machine learning algorithms (Neural Networks, Convolutional Neural Networks) - Learned AI key concepts (Q-learning, Deep Q-learning, Deep Convolutional Q-learning and A3C algorithms) - Implemented all using Python and PyTorch in different applications

2021

Intro to Machine Learning from Stanford University

2019

Coursera

Introduced to machine learning techniques (Linear regression, Logistic regression, Neural Network, Support Vector Machine SVM and Principal Component Analysis PCA), implemented all on Matlab.

2019

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Python Level 1

Python

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