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ORCIDZeeshan Tariq
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2020 – today
- 2022
[j7]Zeeshan Tariq
, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor:
Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis. Algorithms 15(8): 257 (2022)- 2021
- [j6]Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud:
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. Neural Comput. Appl. 33(24): 17147-17159 (2021) - [c4]Naveed Khan, Zeeshan Tariq, Aftab Ali, Sally I. McClean, Paul N. Taylor, Detlef D. Nauck:
Early Prediction of Complex Business Processes Using Association Rule Based Mining. RTIP2R 2021: 183-194 - [c3]Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor:
Proactive business process mining for end-state prediction using trace features. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 647-652 - [c2]Cathryn Peoples, Zeeshan Tariq, Adrian Moore, Mohammad Hossein Zoualfaghari, Andrew Reeves:
Using Process Mining to Formalise Service Level Agreement (SLA) Allocation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 671-676 - 2020
- [j5]Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor:
Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework. Algorithms 13(10): 244 (2020) - [j4]Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem:
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. Neural Comput. Appl. 32(15): 11919-11935 (2020)
2010 – 2019
- 2019
- [j3]Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed:
An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. 31(8): 4123-4135 (2019) - [j2]Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem:
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. Neural Comput. Appl. 31(12): 8561-8581 (2019) - [c1]Gulraiz Khan, Muhammad Ali Farooq, Junaid Hussain, Zeeshan Tariq, Muhammad Usman Ghani Khan:
Categorization of Crowd Varieties using Deep Concurrent Convolution Neural Network. ICACS 2019: 1-6 - 2018
- [j1]Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem:
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. 30(9): 2673-2683 (2018)
Coauthor Index
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