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ORCIDMuhammad K. Ali
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2020 – today
- 2023
[j2]Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum
, Lu Liu, Antonio Liotta, Omer F. Rana:
Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics. IEEE Trans. Sustain. Comput. 8(3): 448-464 (2023)- 2022
- [j1]Muhammad K. Ali, Ashiq Anjum, Omer F. Rana, Ali Reza Zamani, Daniel Balouek-Thomert, Manish Parashar:
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. IEEE Trans. Cloud Comput. 10(2): 792-804 (2022) - [c5]Muhammad K. Ali, F. Jordan Srour, Nabil Georges Badr, Abbas Tarhini:
Exploring the System Dynamics of COVID-19 and Reconfiguration of Emergency Medical Services. IESS 2022: 1004 - 2020
- [c4]Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Antonio Liotta, Stephan Reiff-Marganiec:
Edge-enhanced analytics via latent space dimensionality reduction. BDCAT 2020: 87-95
2010 – 2019
- 2018
- [c3]Omer F. Rana, Manjerhussain Shaikh, Muhammad K. Ali, Ashiq Anjum, Luiz F. Bittencourt:
Vertical Workflows: Service Orchestration across Cloud & Edge Resources. FiCloud 2018: 355-362 - [c2]Muhammad K. Ali, Ashiq Anjum, Muhammad Usman Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Manish Parashar:
Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. ICFEC 2018: 1-10 - 2017
- [c1]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. iThings/GreenCom/CPSCom/SmartData 2017: 810-817 - [i1]Richard Hill, James Devitt, Ashiq Anjum, Muhammad K. Ali:
Towards In-Transit Analytics for Industry 4.0. CoRR abs/1710.04121 (2017)
Coauthor Index
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