Muhammad Zulqarnain

According to our database, Muhammad Zulqarnain authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

An efficient two-state GRU based on feature attention mechanism for sentiment analysis.

Muhammad Zulqarnain, Rozaida Ghazali, Muhammad Aamir, Yana Mazwin Mohmad Hassim

Multim. Tools Appl., January, 2024

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

Sulaiman Sulmi Almutairi, Mohammed Abohashrh, Hasanain Hayder Razzaq, Muhammad Zulqarnain, Abdallah Namoun, Faheem Khan

IEEE Access, 2024

2023

Data pre-processing for cardiovascular disease classification: A systematic literature review.

Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Norlida Hassan

J. Intell. Fuzzy Syst., 2023

C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA.

Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Optimally organized GRU-deep learning model with Chi² feature selection for heart disease prediction.

Irfan Javid, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Yana Mazwin Mohmad Hassim, Muhammad Zulqarnain

J. Intell. Fuzzy Syst., 2022

Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease.

Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Noor Aida Husaini

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.

Muhammad Zulqarnain, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Muhammad Ghulam Ghouse, Wareesa Sharif, Noor Aida Husaini

PeerJ Comput. Sci., 2021

2020

Auto-Encoder Variants for Solving Handwritten Digits Classification Problem.

Muhammad Aamir, Nazri Mohd Nawi, Hairulnizam Mahdin, Rashid Naseem, Muhammad Zulqarnain

Int. J. Fuzzy Log. Intell. Syst., 2020

2016

Experimental study of link quality in IEEE 802.15.4 using Z1 Motes.

Adnan Noor Mian, Sheeraz A. Alvi, Raees Khan, Muhammad Zulqarnain, Waleed Iqbal

Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016