Muhammad Zulqarnain

Orcid: 0000-0001-8081-022X

According to our database1, Muhammad Zulqarnain authored at least 8 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
DIGing-SGLD: Decentralized and Scalable Langevin Sampling over Time-Varying Networks.
CoRR, November, 2025

2024
An efficient two-state GRU based on feature attention mechanism for sentiment analysis.
Multim. Tools Appl., January, 2024

A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual Dataset.
IEEE Access, 2024

2023
C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022
Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

2021
A comparative analysis on question classification task based on deep learning approaches.
PeerJ Comput. Sci., 2021

2020
Auto-Encoder Variants for Solving Handwritten Digits Classification Problem.
Int. J. Fuzzy Log. Intell. Syst., 2020

2016
Experimental study of link quality in IEEE 802.15.4 using Z1 Motes.
Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016


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