Muhammad Sabih

According to our database, Muhammad Sabih authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks.

Christian Heidorn, Muhammad Sabih, Nicolai Meyerhöfer, Christian Schinabeck, Jürgen Teich, Frank Hannig

Int. J. Parallel Program., April, 2024

Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units.

Muhammad Sabih, Batuhan Sesli, Frank Hannig, Jürgen Teich

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.

Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022

Deception detection on social media: A source-based perspective.

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi

Knowl. Based Syst., 2022

Image processing based fault classification in power systems with classical and intelligent techniques.

Muhammad Sabih, Muhammad Umer, Umar Farooq, Jason Gu, Marius M. Balas, Muhammad Usman Asad, Khurram Karim Qureshi, Irfan A. Khan, Ghulam Abbas

J. Intell. Fuzzy Syst., 2022

MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks.

Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich

Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks.

Muhammad Sabih, Frank Hannig, Jürgen Teich

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021

A systematic metadata harvesting workflow for analysing scientific networks.

Bilal Hayat Butt, Muhammad Rafi, Muhammad Sabih

PeerJ Comput. Sci., 2021

Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text.

Khubaib Ahmed Qureshi, Muhammad Sabih

IEEE Access, 2021

Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter.

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi

IEEE Access, 2021

Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation.

Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih

IEEE Access, 2021

Fault-Tolerant Low-Precision DNNs using Explainable AI.

Muhammad Sabih, Frank Hannig, Jürgen Teich

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks.

Muhammad Sabih, Frank Hannig, Jürgen Teich

CoRR, 2020

Clustering-Based Scenario-Aware LTE Grant Prediction.

Peter Brand, Muhammad Sabih, Joachim Falk, Jonathan Ah Sue, Jürgen Teich

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

2015

A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data.

Muhammad Faizan Mysorewala, Muhammad Sabih, Lahouari Cheded, Mohammad Tariq Nasir, Muhammad Ismail

Int. J. Distributed Sens. Networks, 2015

2014

Experimental Investigations for Distributed Networked Control Systems.

Magdi Sadek Mahmoud, Muhammad Sabih

IEEE Syst. J., 2014

Networked event-triggered control: an introduction and research trends.

Magdi Sadek Mahmoud, Muhammad Sabih

Int. J. Gen. Syst., 2014

Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM.

Mohammad Tariq Nasir, Muhammad Faizan Mysorewala, Lahouari Cheded, Bilal Siddiqui, Muhammad Sabih

Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014