Muhammad Irfan

According to our database, Muhammad Irfan authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

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

Cross-scale condition aggregation and iterative refinement for copy-move forgery detection.

Yanzhi Xu, Jiangbin Zheng, Aiqing Fang, Muhammad Irfan

Appl. Intell., January, 2024

2023

Feature enhancement and supervised contrastive learning for image splicing forgery detection.

Yanzhi Xu, Jiangbin Zheng, Aiqing Fang, Muhammad Irfan

Digit. Signal Process., May, 2023

Multiscale Attention Network for Detection and Localization of Image Splicing Forgery.

Yanzhi Xu, Muhammad Irfan, Aiqing Fang, Jiangbin Zheng

IEEE Trans. Instrum. Meas., 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

CMDGAT: Knowledge extraction and retention based continual graph attention network for point cloud registration.

Anam Zaman, Yangyu Fan, Muhammad Saad Ayub, Muhammad Irfan, Guoyun Lv, Shiya Liu

Expert Syst. Appl., 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

LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks.

Anam Zaman, Yangyu Fan, Muhammad Irfan, Muhammad Saad Ayub, Guoyun Lv, Shiya Liu

Expert Syst. Appl., 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

Enhancing learning classifier systems through convolutional autoencoder to classify underwater images.

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

Soft Comput., 2021

A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images.

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

Inf. Sci., 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