Tariq Mahmood

Orcid: 0000-0002-6557-4676

Affiliations:
  • Institute of Business Administration, School of Mathematics and Computer Science, Karachi, Pakistan


According to our database1, Tariq Mahmood authored at least 12 papers between 2016 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Weed Detection Using Deep Learning: A Systematic Literature Review.
Sensors, April, 2023

2022
Evolutionary Computing to solve product inconsistencies in Software Product Lines.
Sci. Comput. Program., 2022

Big data architectures for data lakes: A systematic literature review.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Predictive Analytics for Product Configurations in Software Product Lines.
Int. J. Comput. Intell. Syst., 2021

Big data analytics in healthcare - A systematic literature review and roadmap for practical implementation.
IEEE CAA J. Autom. Sinica, 2021

2020
Big data analytics in telecommunications: literature review and architecture recommendations.
IEEE CAA J. Autom. Sinica, January, 2020

Feature Selection Optimization in Software Product Lines.
IEEE Access, 2020

Decentralized Transfer Learning using Blockchain & IPFS for Deep Learning.
Proceedings of the 2020 International Conference on Information Networking, 2020

2018
Enhancing Dependability in Big Data Analytics Enterprise Pipelines.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2018

Performance Comparison of State of Art NoSql Technologies Using Apache Spark.
Proceedings of the Intelligent Systems and Applications, 2018

2017
Using Deep Learning to Predict Short Term Traffic Flow: A Systematic Literature Review.
Proceedings of the Intelligent Transport Systems - From Research and Development to the Market Uptake, 2017

2016
Intelligent software product line configurations: A literature review.
Comput. Stand. Interfaces, 2016


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