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Finite Element Analysis
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Matlab and Mathematica
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$10 USD / hora
Bandera de EGYPT
el zaytoon, egypt
$10 USD / hora
Aquí son las 3:49 p. m.
Se unió el julio 25, 2021
5 recomendaciones

Hesham H.

@HeshamAbdo29

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$10 USD / hora
Bandera de EGYPT
el zaytoon, egypt
$10 USD / hora
100 %
Trabajos finalizados
99 %
Dentro del presupuesto
100 %
A tiempo
29 %
Tasa de recontratación

Aerospace / Robotics Engineer

A fresh graduate aerospace engineer who have strong knowledge in mathematics, aeronautics, navigation and control, robotics, artificial intelligence, and machine learning. Experienced in programming with C/C++, Python, TensorFlow, Pytorch, ROS, Matlab and Simulink.
Freelancer Matlab and Mathematica Engineers Egypt
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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

Comentarios

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Mostrando 1 - 5 de 24 reseñas
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5,0
$200,00 USD
Predictive Analytics
Amazing and professional work, will hire again!
Python
Machine Learning (ML)
M
Bandera de Melo D.
@Melodiee
•
hace 13 días
5,0
$230,00 USD
Simplified FEM
Very happy to work with him. He delivers the project with complete satisfaction
Python
Engineering
Matlab and Mathematica
Finite Element Analysis
Mathematics
+1 más
B
Bandera de Bilal R.
@BilalRasd
•
hace 23 días
5,0
$110,00 USD
Undefined Python AI/ML Development
I have worked with Hesham for years. Again and again, he proves his genius, his unmatched skills, and his professionalism; this makes him more of a friend than a colleague. The fascinating part is that he manages to work on a wide range of engineering specialties at an expert level. Hesham, thank you for everything, and see you soon!
Python
Statistics
Machine Learning (ML)
Data Mining
Artificial Intelligence
T
Bandera de Nikolaos P.
@threelittlepigs
•
hace 2 meses
5,0
$605,00 USD
expert in artificial intelligence
Hesham H. is a wonderful and very intelligent person who innovates solutions and has excellent experience. I advise everyone to hire him... He is also a very efficient person who responds quickly at any time and knowledge me every time the update of work. I will hire him many times in the future.
Python
Algorithm
Machine Learning (ML)
B
Bandera de Dena Kadhim M.
@bushrasalih98
•
hace 4 meses
5,0
$520,00 USD
FEM & Structure Mechanics
Everything Epic. From the very beginning to the end. He made sure that the goals are achieved in the project. He even went beyond by reading the literature to solve the problems. Highly recommended.
Python
Engineering
Structural Engineering
Finite Element Analysis
Mathematics
+1 más
B
Bandera de Bilal R.
@BilalRasd
•
hace 7 meses

Experiencia

Autonomous System Engineer

UAV Development Center in Cairo University
sept 2019 - mar 2020 (6 meses, 2 días)
- 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.

Educación

Bachelor in Aerospace Engineering

Cairo University, Egypt 2016 - 2021
(5 años)

Calificaciones

Deep Learning Specialization (5 Courses)

Coursera - DeepLearning.AI
2021
- 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

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

Udemy
2021
- 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

Intro to Machine Learning from Stanford University

Coursera
2019
Introduced to machine learning techniques (Linear regression, Logistic regression, Neural Network, Support Vector Machine SVM and Principal Component Analysis PCA), implemented all on Matlab.

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Certificaciones

python-1.png Python 1 82%
preferredfreelancer-1.png Preferred Freelancer Program SLA 1 82%
uk_english1.png UK English 1 77%
us_eng_1.png US English 1 75%

Principales habilidades

Matlab and Mathematica 15
Mathematics 12
Python 11
Finite Element Analysis 11
Engineering 9

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