Zeeshan Tariq

According to our database, Zeeshan Tariq authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes.

Sally I. McClean, Dongwei Wang, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq, Shalini Prasad

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), 2024

2022

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis.

Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Algorithms, 2022

2021

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach.

Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud

Neural Comput. Appl., 2021

Proactive business process mining for end-state prediction using trace features.

Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Proceedings of the 2021 IEEE SmartWorld, 2021

Using Process Mining to Formalise Service Level Agreement (SLA) Allocation.

Cathryn Peoples, Zeeshan Tariq, Adrian Moore, Mohammad Hossein Zoualfaghari, Andrew Reeves

Proceedings of the 2021 IEEE SmartWorld, 2021

Early Prediction of Complex Business Processes Using Association Rule Based Mining.

Naveed Khan, Zeeshan Tariq, Aftab Ali, Sally I. McClean, Paul N. Taylor, Detlef D. Nauck

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

2020

An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks.

Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem

Neural Comput. Appl., 2020

Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework.

Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Algorithms, 2020

2019

Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction.

Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem

Neural Comput. Appl., 2019

An integrated approach for estimating static Young's modulus using artificial intelligence tools.

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed

Neural Comput. Appl., 2019

Categorization of Crowd Varieties using Deep Concurrent Convolution Neural Network.

Gulraiz Khan, Muhammad Ali Farooq, Junaid Hussain, Zeeshan Tariq, Muhammad Usman Ghani Khan

Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019

2018

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.

Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem

Neural Comput. Appl., 2018