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 (SSD, 2014)

Networked event-triggered control: an introduction and research trends. - Magdi Sadek Mahmoud; Muhammad Sabih (Int. J. Gen. Syst., 2014)

Experimental Investigations for Distributed Networked Control Systems. - Magdi Sadek Mahmoud; Muhammad Sabih (IEEE Syst. J., 2014)

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)

Clustering-Based Scenario-Aware LTE Grant Prediction. - Peter Brand; Muhammad Sabih; Joachim Falk; Jonathan Ah Sue; Jürgen Teich (WCNC, 2020)

Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks. - Muhammad Sabih; Frank Hannig; Jürgen Teich (CoRR, 2020)

Fault-Tolerant Low-Precision DNNs using Explainable AI. - Muhammad Sabih; Frank Hannig; Jürgen Teich (DSN Workshops, 2021)

Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation. - Khubaib Ahmed Qureshi; Rauf Ahmed Shams Malick; 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)

Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text. - Khubaib Ahmed Qureshi; Muhammad Sabih (IEEE Access, 2021)

A systematic metadata harvesting workflow for analysing scientific networks. - Bilal Hayat Butt; Muhammad Rafi; Muhammad Sabih (PeerJ Comput. Sci., 2021)

DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks. - Muhammad Sabih; Frank Hannig; Jürgen Teich (EuroMLSys@EuroSys, 2022)

MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks. - Muhammad Sabih; Ashutosh Mishra; Frank Hannig; Jürgen Teich (IGSC, 2022)

Image processing based fault classification in power systems with classical and intelligent techniques. - Muhammad Sabih; Muhammad Umer; Umar Farooq 001; Jason Gu; Marius M. Balas; Muhammad Usman Asad; Khurram Karim Qureshi; Irfan A. Khan; Ghulam Abbas 001 (J. Intell. Fuzzy Syst., 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)

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. - Muhammad Sabih; Mikail Yayla; Frank Hannig; Jürgen Teich; Jian-Jia Chen (EuroMLSys@EuroSys, 2023)

Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units. - Muhammad Sabih; Batuhan Sesli; Frank Hannig; Jürgen Teich (DATE, 2024)

Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs. - Muhammad Sabih; Abrarul Karim; Jakob Wittmann; Frank Hannig; Jürgen Teich (ICFPT, 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., 2024)