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najibodhah's Projects

channelnet icon channelnet

Implementation of the paper "Deep Learning-Based Channel Estimation"

comnetsemu icon comnetsemu

A holistic testbed/emulator for the book: Computing in Communication Networks: From Theory to Practice (2020)

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

crcd icon crcd

These codes and the corresponding Android application for D2D communications that are available at (https://github.com/CRCDAndroidApplicationRealtimeContent/CRCD) have been developed by the GTMD research Lab at Isfahan University of Technology and the NetSciWiS research Lab at Virginia Tech (ECE Department), under the supervision of Dr. Mohammad Hossein Manshaei and Dr. Walid Saad, respectively. For further information, feel free to contact us at: [email protected] or [email protected].

crcd-1 icon crcd-1

These codes and the corresponding Android application for D2D communications that are available at (https://github.com/CRCDApp/CRCD) have been developed by the GTMD research Lab at Isfahan University of Technology and the NetSciWiS research Lab at Virginia Tech (ECE Department), under the supervision of Dr. Mohammad Hossein Manshaei and Dr. Walid Saad, respectively. For further information, feel free to contact us at: [email protected] or [email protected].

csprivacy icon csprivacy

Potential way how to find probability of visit POI/ uncertainty of a user's driving direction with help of any navigation provider.

d2d-factory-automation icon d2d-factory-automation

MATLAB Code for User Grouping Based Two Phase Transmission Protocol for Achieving URLLC in Factory Automation

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

datasciencecoursera icon datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

dds icon dds

Data Driven Subsampling Source Code

deep-learning-channel-estimation icon deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

deep-learning-power-allocation-in-massive-mimo icon deep-learning-power-allocation-in-massive-mimo

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

deep-reinforcement-learning-for-5g-networks icon deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deepbeam-1 icon deepbeam-1

M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.

deeplearningpython35 icon deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

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