Muhammad Sabih

Orcid: 0000-0003-2066-646X

According to our database1, Muhammad Sabih authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks.
Int. J. Parallel Program., April, 2024

Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022
Deception detection on social media: A source-based perspective.
Knowl. Based Syst., 2022

Image processing based fault classification in power systems with classical and intelligent techniques.
J. Intell. Fuzzy Syst., 2022

MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks.
Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks.
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.
PeerJ Comput. Sci., 2021

Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text.
IEEE Access, 2021

Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter.
IEEE Access, 2021

Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation.
IEEE Access, 2021

Fault-Tolerant Low-Precision DNNs using Explainable AI.
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.
CoRR, 2020

Clustering-Based Scenario-Aware LTE Grant Prediction.
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.
Int. J. Distributed Sens. Networks, 2015

2014
Experimental Investigations for Distributed Networked Control Systems.
IEEE Syst. J., 2014

Networked event-triggered control: an introduction and research trends.
Int. J. Gen. Syst., 2014

Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014


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