Sondos Ahmad Aabed's Projects
problem-solving with the Keras functional API, diverse architectures, multi-layer perceptrons to multiple inputs/outputs and shared weights
Baby-Frecuencies managment application using AVL tree as data Structure. Java | JavaFX
Baby-Frecuencies managment application using Hash table as data Structure. Java | JavaFX
CSS hovering effects, responsive web design, form styling, web layouts, popout page, form validation using PHP.
gaining essential skills for tasks like cardiac MRI segmentation and detecting Alzheimer's-related brain structure changes.
In this assignment, I apply the following concepts I learned in java (abstract class, interfaces, Polymorphism, exception handling, Files manipulation and encapsulation)
This project used Spring MVC, java web applications apache server on Eclipse to perform tetsing tasks
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
Advanced deep learning concepts, utilizing Keras and TensorFlow to explore neural networks, model optimization, and practical applications
This track covers the fundamentals, from image pre-processing to deep learning. Began with image enhancement, restoration, biomedical images to convolutional neural nets, build powerful deep learning image classifiers.
This report was written for the Digital Forensics Analysis coursework, specifically the first assignment. In which, steps and screenshots for each investigation process are recorded.
An equation processor application using linked stack and cursor array implementations of a linked stack.
This project was done as part of the Digital Forensics Analysis coursework, specifically the file carving tool.
In this Project AVL trees are used to organize Electricty Records from Gaza by Date (Years, Months, Days)
Java project that implemnts Huffman encoding algorithm
Huffman code interface. Java | JavaFX
Understanding images as data, training CNNs, and optimizing their performance, gained the skills to apply deep learning techniques with applications
Using scikit-image: Process, transform, and manipulate images, restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection.
Introduction to generative adversial network
Intro to tenserflow for deep learning Course with udacity
Prequalification course to a scholarship from AWS for AI programming
introduction to computer vision including fundamentals, methods for application and machine learning classification.
Knowledge of how to use deep learning with Keras, the latest version of a cutting-edge library for deep learning in Python.
Using Keras in deep learning, covering tasks like predicting asteroid trajectories, binary classification of real and fake dollar bills, and reconstructing noisy images with neural networks.
Course with Udacity. Python programming fundamentals such as data structures, variables, loops, and functions. Worked with data using libraries like NumPy and Pandas.
Course with udacity that cover SQL for data Scientists, this is my solution for the lessons and the project
using TensorFlow to develop, train, and make predictions with models in various fields. Topics like linear regression, neural networks, and high-level APIs in TensorFlow.
Learned how to deploy deep learning models on Android with the TensorFlow Lite framework.
In this project using c language a library is developed
Learning linear algebra by doing, code my own library of linear algebra functions!