Mehdi Ghayoumi

Kent State University, Computer Science, Graduate Student

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Papers by Mehdi Ghayoumi

Conditional Generative Adversarial Network (cGAN)

Chapman and Hall/CRC eBooks, Nov 13, 2023

Generative Adversarial Networks (GANs) for Images

Chapman and Hall/CRC eBooks, Nov 13, 2023

Least Squares Generative Adversarial Network (LSGAN)

Chapman and Hall/CRC eBooks, Nov 13, 2023

Cycle Generative Adversarial Network (CycleGAN)

Chapman and Hall/CRC eBooks, Nov 13, 2023

Artificial Neural Networks Fundamentals and Architectures

Chapman and Hall/CRC eBooks, Nov 13, 2023

Generative Adversarial Networks (GANs) for Voice, Music, and Song

Chapman and Hall/CRC eBooks, Nov 13, 2023

Generative Adversarial Networks (GANs) Fundamentals and Architectures

Chapman and Hall/CRC eBooks, Nov 13, 2023

Deep Neural Networks (DNNs) for Images Analysis

Chapman and Hall/CRC eBooks, Oct 12, 2021

Parkinson Data Analysis and Interpretation with Data Visualization Methods

Lecture Notes in Computer Science, 2014

Information Visualization has been used in many areas and now its applications are growing each d... more Information Visualization has been used in many areas and now its applications are growing each day. Modelling and visualization psychological processes, based on the analysis of psychological data can be a real necessary for all experts in this field. In this article we use PCA and person fit statistical for analyzing data, and some visualization tools for modeling to provide some visualizations of the Parkinson patient’s information. The results show some meaningful relations between BMI, Age in one side and percentage of some Parkinson patient features that can be appear in men and women on the other side.

Python/NumPy Fundamentals

Chapman and Hall/CRC eBooks, Oct 12, 2021

Finding the Best Model

Chapman and Hall/CRC eBooks, Oct 12, 2021

TensorFlow and Keras Fundamentals

Chapman and Hall/CRC eBooks, Oct 12, 2021

Deep Neural Networks (DNNs) Fundamentals and Architectures

Chapman and Hall/CRC eBooks, Oct 12, 2021

Deep Learning in Practice

Facial Expression Analysis Using Deep Learning with Partial Integration to Other Modalities to Detect Emotion

Deep Neural Networks (DNNs) Fundamentals and Architectures

Deep Learning in Practice, 2021

Deep Neural Networks (DNNs) for Images Analysis

Deep Learning in Practice, 2021

TensorFlow and Keras Fundamentals

Deep Learning in Practice, 2021

Finding the Best Model

Deep Learning in Practice, 2021

Mehdi Ghayoumi

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Papers by Mehdi Ghayoumi

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