abdulkarimgizzini's Stars
geoaigroup/awesome-vision-language-models-for-earth-observation
A curated list of awesome vision and language resources for earth observation.
abdulkarimgizzini/Enhancing_Least_Square_Channel_Estimation_Using_Deep_Learning
This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.
abdulkarimgizzini/DL-based-Channel-Estimation-in-Doubly-Dispersive-Environments-
This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
abdulkarimgizzini/Deep-Learning-Based-Channel-Estimation-Schemes-for-IEEE-802.11p-Standard
This repository includes the source code of the STA-DNN and TRFI DNN channel estimators proposed in "Deep Learning Based Channel Estimation Schemes for IEEE 802.11 p Standard" and "Joint TRFI and Deep Learning for Vehicular Channel Estimation" papers that are published in the IEEE Access journal and the proceedings of the 2020 IEEE GLOBECOM Workshops, respectively.
c3di/neuroscope
Neuroscope:An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets
abdulkarimgizzini/CNN-Aided-Weighted-Interpolation-for-Channel-Estimation-in-Vehicular-Communications
This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.
abdulkarimgizzini/Temporal-Averaging-LSTM-based-Channel-Estimation-Scheme-for-IEEE-802.11p-Standard
This repository includes the source code of the LSTM-based channel estimators proposed in "Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11 p Standard" paper that is published in the proceedings of the IEEE GLOBECOM 2022 conference that was held in Madrid (Spain).
abdulkarimgizzini/Low-Complex-Methods-for-Robust-Channel-Estimation-in-Doubly-Dispersive-Environments
This repository includes the source code of the DFT-based channel estimators proposed in "Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
jhoydis/sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research