Maqsood Hussain Shah

According to our database, Maqsood Hussain Shah authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Composite Ensemble Learning Framework for Passive Drone Radio Frequency Fingerprinting in Sixth-Generation Networks.

Muhammad Usama Zahid, Muhammad Danish Nisar, Adnan Fazil, Jihyoung Ryu, Maqsood Hussain Shah

Sensors, September, 2024

Specific Emitter Identification Based on Multi-Scale Multi-Dimensional Approximate Entropy.

Muhammad Usama Zahid, Muhammad Danish Nisar, Maqsood Hussain Shah, Syed Aamer Hussain

IEEE Signal Process. Lett., 2024

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset.

Yue Ding, Sen Yan, Maqsood Hussain Shah, Hongyuan Fang, Ji Li, Mingming Liu

CoRR, 2024

Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services.

Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu, Yingqi Gu, Mingming Liu

CoRR, 2024

Hierarchical Tree of Deep Networks (HTDN) for Joint Classification of Linear and Non-Linear Modulations.

Maqsood Hussain Shah, Xiaoyu Dang, Mingming Liu

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

2023

A Review on AI Algorithms for Energy Management in E-Mobility Services.

Sen Yan, Maqsood Hussain Shah, Ji Li, Noel E. O'Connor, Mingming Liu

CoRR, 2023

2022

Radio Frequency Fingerprint extraction based on Multiscale Approximate Entropy.

Muhammad Usama Zahid, Muhammad Danish Nisar, Maqsood Hussain Shah

Phys. Commun., 2022

2021

Improved Channel Sounding using ZC Sequences in Aeronautical Telemetry Multipath Environments.

Sai Li, Xiaoyu Dang, Chongzheng Hao, Maqsood Hussain Shah, Jie Li

Proceedings of the 21st International Conference on Communication Technology, 2021

2020

Novel Feature Selection Method Using Bhattacharyya Distance for Neural Networks Based Automatic Modulation Classification.

Maqsood Hussain Shah, Xiaoyu Dang

IEEE Signal Process. Lett., 2020

An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems.

Maqsood Hussain Shah, Xiaoyu Dang

Frontiers Inf. Technol. Electron. Eng., 2020

Low Complexity Receiver Design Using Deep Neural Network Based on Compact Sparse AutoEncoder.

Chongzheng Hao, Xiaoyu Dang, Maqsood Hussain Shah, Meng Wang, Xiangbin Yu

IEEE Commun. Lett., 2020

Low-complexity deep learning and RBFN architectures for modulation classification of space-time block-code (STBC)-MIMO systems.

Maqsood Hussain Shah, Xiaoyu Dang

Digit. Signal Process., 2020

2019

Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse-autoencoder-based deep neural network.

Maqsood Hussain Shah, Xiaoyu Dang

IET Commun., 2019

Classification of Spectrally Efficient Constant Envelope Modulations Based on Radial Basis Function Network and Deep Learning.

Maqsood Hussain Shah, Xiaoyu Dang

IEEE Commun. Lett., 2019