Zafar Masood

According to our database, Zafar Masood authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A novel continual reinforcement learning-based expert system for self-optimization of soft real-time systems.

Zafar Masood, Jiangbin Zheng, Idrees Ahmad, Chai Dongdong, Wasif Shabbir, Muhammad Irfan

Expert Syst. Appl., March, 2024

2023

Dynamic offloading technique for real-time edge-to-cloud computing in heterogeneous MEC-MCC and IoT devices.

Sheharyar Khan, Jiangbin Zheng, Sohrab Khan, Zafar Masood, Muhammad Pervez Akhter

Internet Things, December, 2023

High-performance virtual globe GPU terrain rendering using game engine.

Zafar Masood, Jiangbin Zheng, Muhammad Irfan, Idrees Ahmad

Comput. Animat. Virtual Worlds, 2023

Efficient adaptive rendering of planetary-scale terrains.

Zafar Masood, Jiangbin Zheng, Muhammad Irfan, Idress Ahmad

Int. J. Comput. Appl. Technol., 2023

2022

A novel method for adaptive terrain rendering using memory-efficient tessellation codes for virtual globes.

Zafar Masood, Jiangbin Zheng, Idrees Ahmad, Muhammad Irfan, Nafees Ahmad

J. King Saud Univ. Comput. Inf. Sci., November, 2022

High-performance adaptive texture streaming for planetary-scale high-mobility information visualization.

Zafar Masood, Jiangbin Zheng, Idrees Ahmad, Muhammad Irfan

J. King Saud Univ. Comput. Inf. Sci., 2022

Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system.

Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood, Muhammad Hassan Arif

Inf. Sci., 2022

High-Performance GPU based Planetary-Scale Terrain Visualization.

Zafar Masood, Jiangbin Zheng, Idrees Ahmad, Muhammad Irfan, Amir Saeed

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

2021

Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification.

Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood, Muhammad Hassan Arif, Syed Rauf ul Hassan

Expert Syst. Appl., 2021

DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification.

Muhammad Irfan, Jiangbin Zheng, Shahid Ali, Muhammad Iqbal, Zafar Masood, Umar Hamid

Expert Syst. Appl., 2021