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ORCIDMuhammad Tahir Naseem
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2020 – today
- 2024
[j12]Muhammad Tahir Naseem, Chan-Su Lee
, Na-Hyun Kim:
Facial Expression Recognition Using Visible, IR, and MSX Images by Early and Late Fusion of Deep Learning Models. IEEE Access 12: 20692-20704 (2024)- [j11]Tayaba Anjum, Ahsan Ali, Muhammad Tahir Naseem:
Settlement detection from satellite imagery using fully convolutional network. J. Electronic Imaging 33(4) (2024) - 2022
- [j10]Shahid Mehmood, Taher M. Ghazal, Muhammad Adnan Khan, Muhammad Zubair, Muhammad Tahir Naseem, Tauqeer Faiz, Munir Ahmad:
Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing. IEEE Access 10: 25657-25668 (2022) - [j9]Jungi Kim, Haneol Seo, Muhammad Tahir Naseem, Chan-Su Lee:
Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model. Sensors 22(13): 4863 (2022) - [j8]Muhammad Tahir Naseem, Tajmal Hussain, Chan-Su Lee, Muhammad Adnan Khan:
Classification and Detection of COVID-19 and Other Chest-Related Diseases Using Transfer Learning. Sensors 22(20): 7977 (2022) - 2020
- [j7]Muhammad Nadeem, Ayyaz Hussain, Asim Munir, Muhammad Habib, Muhammad Tahir Naseem:
Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter. Signal Process. 169: 107403 (2020)
2010 – 2019
- 2019
- [j6]Muhammad Tahir Naseem, Muhammad Nadeem, Ijaz Mansoor Qureshi, Ayyaz Hussain:
Optimal Secure Information using Digital Watermarking and Fuzzy Rule base. Multim. Tools Appl. 78(6): 7691-7712 (2019) - 2016
- [j5]Muhammad Tahir Naseem, Ijaz Mansoor Qureshi, Muhammad Zeeshan Muzaffar, Atta-ur-Rahman:
Spread spectrum based invertible watermarking for medical images using RNS and chaos. Int. Arab J. Inf. Technol. 13(2): 223-231 (2016) - [j4]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Aqdas Naveed Malik, Muhammad Tahir Naseem:
QoS and rate enhancement in DVB-S2 using fuzzy rule based system. J. Intell. Fuzzy Syst. 30(2): 801-810 (2016) - 2014
- [j3]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Aqdas Naveed Malik, Muhammad Tahir Naseem:
A real time adaptive resource allocation scheme for OFDM systems using GRBF-neural networks and fuzzy rule base system. Int. Arab J. Inf. Technol. 11(6): 590-598 (2014) - [j2]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Aqdas Naveed Malik, Muhammad Tahir Naseem:
Dynamic resource allocation in OFDM systems using DE and FRBS. J. Intell. Fuzzy Syst. 26(4): 2035-2046 (2014) - [j1]Muhammad Tahir Naseem, Ijaz Mansoor Qureshi, Muhammad Zeeshan Muzaffar:
Novel technique for capacity maximizing in digital watermarking using fuzzy rule base. J. Intell. Fuzzy Syst. 27(5): 2497-2509 (2014) - 2013
- [c5]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Muhammad Hammad Salam, Muhammad Tahir Naseem:
Efficient link adaptation in OFDM systems using a hybrid intelligent technique. HIS 2013: 12-17 - [c4]Atta-ur-Rahman, Muhammad Hammad Salam, Muhammad Tahir Naseem, Muhammad Zeeshan Muzaffar:
An intelligent link adaptation scheme for OFDM based hyperlans. SoCPaR 2013: 360-365 - 2012
- [c3]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Muhammad Tahir Naseem, Muhammad Zeeshan Muzaffar:
A GA-FRBS Based Rate Enhancement Scheme for OFDM Based Hyperlans. FIT 2012: 153-158 - [c2]Atta-ur-Rahman, Ijaz Mansoor Qureshi, Muhammad Tahir Naseem:
Adaptive resource allocation for OFDM systems using fuzzy rule base system water-filling principle and product codes. ISDA 2012: 805-810 - 2011
- [c1]Atta-ur-Rahman, Muhammad Tahir Naseem, Ijaz Mansoor Qureshi, Muhammad Zeeshan Muzaffar:
Reversible watermarking using Residue Number System. IAS 2011: 162-166
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