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ORCIDMuhammad Sabih
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Christian Heidorn, Muhammad Sabih
, Nicolai Meyerhöfer, Christian Schinabeck, Jürgen Teich, Frank Hannig:
Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks. Int. J. Parallel Program. 52(1-2): 40-58 (2024)- [c7]Muhammad Sabih, Batuhan Sesli, Frank Hannig, Jürgen Teich:
Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units. DATE 2024: 1-2 - 2023
- [c6]Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen:
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys 2023: 87-93 - 2022
- [j9]Muhammad Sabih, Muhammad Umer, Umar Farooq, Jason Gu, Marius M. Balas, Muhammad Usman Asad, Khurram Karim Qureshi, Irfan A. Khan, Ghulam Abbas:
Image processing based fault classification in power systems with classical and intelligent techniques. J. Intell. Fuzzy Syst. 43(2): 1921-1932 (2022) - [j8]Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi:
Deception detection on social media: A source-based perspective. Knowl. Based Syst. 256: 109649 (2022) - [c5]Muhammad Sabih, Frank Hannig, Jürgen Teich:
DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks. EuroMLSys@EuroSys 2022: 109-115 - [c4]Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich:
MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks. IGSC 2022: 1-8 - 2021
- [j7]Khubaib Ahmed Qureshi, Muhammad Sabih:
Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text. IEEE Access 9: 109465-109477 (2021) - [j6]Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih:
Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation. IEEE Access 9: 137744-137781 (2021) - [j5]Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi:
Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter. IEEE Access 9: 139636-139656 (2021) - [j4]Bilal Hayat Butt, Muhammad Rafi, Muhammad Sabih:
A systematic metadata harvesting workflow for analysing scientific networks. PeerJ Comput. Sci. 7: e421 (2021) - [c3]Muhammad Sabih, Frank Hannig, Jürgen Teich:
Fault-Tolerant Low-Precision DNNs using Explainable AI. DSN Workshops 2021: 166-174 - 2020
- [c2]Peter Brand, Muhammad Sabih, Joachim Falk, Jonathan Ah Sue, Jürgen Teich:
Clustering-Based Scenario-Aware LTE Grant Prediction. WCNC 2020: 1-7 - [i1]Muhammad Sabih, Frank Hannig, Jürgen Teich:
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks. CoRR abs/2008.09072 (2020)
2010 – 2019
- 2015
- [j3]Muhammad Faizan Mysorewala, Muhammad Sabih, Lahouari Cheded, Mohammad Tariq Nasir, Muhammad Ismail:
A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data. Int. J. Distributed Sens. Networks 11: 675454:1-675454:10 (2015) - 2014
- [j2]Magdi Sadek Mahmoud, Muhammad Sabih:
Networked event-triggered control: an introduction and research trends. Int. J. Gen. Syst. 43(8): 810-827 (2014) - [j1]Magdi Sadek Mahmoud, Muhammad Sabih:
Experimental Investigations for Distributed Networked Control Systems. IEEE Syst. J. 8(3): 717-725 (2014) - [c1]Mohammad Tariq Nasir, Muhammad Faizan Mysorewala, Lahouari Cheded, Bilal Siddiqui, Muhammad Sabih:
Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM. SSD 2014: 1-4
Coauthor Index
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last updated on 2024-11-08 21:32 CET by the dblp team
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