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Muhammad Irfan 0009
Person information
- affiliation: Northwestern Polytechnical University, School of Software, Xi'an, China
Other persons with the same name
- Muhammad Irfan — disambiguation page
- Muhammad Irfan 0001
— Kumoh National Institute of Technology, Wireless and Emerging Network System Laboratory, South Korea
- Muhammad Irfan 0002
- Muhammad Irfan 0003
- Muhammad Irfan 0004
- Muhammad Irfan 0005
- Muhammad Irfan 0006
- Muhammad Irfan 0007
- Muhammad Irfan 0008
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2020 – today
- 2024
- [j17]Yanzhi Xu, Jiangbin Zheng
Cross-scale condition aggregation and iterative refinement for copy-move forgery detection. Appl. Intell. 54(11-12): 851-870 (2024) - [j16]Zafar Masood
A novel continual reinforcement learning-based expert system for self-optimization of soft real-time systems. Expert Syst. Appl. 238(Part F): 122309 (2024) - [j15]Muhammad Azeem Aslam
Underwater sound classification using learning based methods: A review. Expert Syst. Appl. 255: 124498 (2024) - [j14]Sheharyar Khan
An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC-MCC environments. J. Netw. Comput. Appl. 225: 103867 (2024) - 2023
- [j13]Yanzhi Xu, Jiangbin Zheng
Feature enhancement and supervised contrastive learning for image splicing forgery detection. Digit. Signal Process. 136: 104005 (2023) - [j12]Anam Zaman, Yangyu Fan, Muhammad Saad Ayub, Muhammad Irfan
CMDGAT: Knowledge extraction and retention based continual graph attention network for point cloud registration. Expert Syst. Appl. 214: 119098 (2023) - [j11]Zafar Masood, Jiangbin Zheng, Muhammad Irfan, Idress Ahmad:
Efficient adaptive rendering of planetary-scale terrains. Int. J. Comput. Appl. Technol. 71(4): 286-295 (2023) - [j10]Zafar Masood
High-performance virtual globe GPU terrain rendering using game engine. Comput. Animat. Virtual Worlds 34(2) (2023) - [j9]Yanzhi Xu
Multiscale Attention Network for Detection and Localization of Image Splicing Forgery. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - 2022
- [j8]Anam Zaman
LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks. Expert Syst. Appl. 195: 116613 (2022) - [j7]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system. Inf. Sci. 591: 287-305 (2022) - [j6]Zafar Masood
High-performance adaptive texture streaming for planetary-scale high-mobility information visualization. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8336-8349 (2022) - [j5]Zafar Masood
A novel method for adaptive terrain rendering using memory-efficient tessellation codes for virtual globes. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9393-9408 (2022) - [c1]Zafar Masood
High-Performance GPU based Planetary-Scale Terrain Visualization. ICIGP 2022: 261-267 - 2021
- [j4]Muhammad Irfan, Jiangbin Zheng, Shahid Ali
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification. Expert Syst. Appl. 183: 115270 (2021) - [j3]Muhammad Irfan
Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification. Expert Syst. Appl. 186: 115798 (2021) - [j2]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Muhammad Hassan Arif:
A novel lifelong learning model based on cross domain knowledge extraction and transfer to classify underwater images. Inf. Sci. 552: 80-101 (2021) - [j1]Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Muhammad Hassan Arif:
Enhancing learning classifier systems through convolutional autoencoder to classify underwater images. Soft Comput. 25(15): 10423-10440 (2021)
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