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 (IWCMC, 2016)

Auto-Encoder Variants for Solving Handwritten Digits Classification Problem. - Muhammad Aamir 005; Nazri Mohd Nawi; Hairulnizam Mahdin; Rashid Naseem; Muhammad Zulqarnain (Int. J. Fuzzy Log. Intell. Syst., 2020)

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)

Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease. - Irfan Javid; Rozaida Ghazali; Muhammad Zulqarnain; Noor Aida Husaini (SCDM, 2022)

C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. - Muhammad Zulqarnain; Arpita Gang; Waheed U. Bajwa (CISS, 2023)

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)

An efficient two-state GRU based on feature attention mechanism for sentiment analysis. - Muhammad Zulqarnain; Rozaida Ghazali; Muhammad Aamir 005; Yana Mazwin Mohmad Hassim (Multim. Tools Appl., 2024)