Muhammad Umar Chaudhry

According to our database, Muhammad Umar Chaudhry authored at least 10 papers between 2016 and 2023.

Collaborative distances:

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

2023

Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions.

Hassaan Malik, Tayyaba Anees, Muhammad Faheem, Muhammad Umar Chaudhry, Aatka Ali, Muhammad Nabeel Asghar

Internet Things, October, 2023

A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images.

Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomír Gono, Michal Jasiñski, Zbigniew Leonowicz, Petr Bernat

IEEE Access, 2023

2022

Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP.

Muhammad Yasir, Ali Haidar, Muhammad Umar Chaudhry, Muhammad Asif Habib, Aamir Hussain, Elzbieta Jasinska, Zbigniew Leonowicz, Michal Jasiñski

Eng. Appl. Artif. Intell., 2022

2020

Monte Carlo Tree Search-Based Recursive Algorithm for Feature Selection in High-Dimensional Datasets.

Muhammad Umar Chaudhry, Muhammad Yasir, Muhammad Nabeel Asghar, Jee-Hyong Lee

Entropy, 2020

D-GENE: Deferring the GENEration of Power Sets for Discovering Frequent Itemsets in Sparse Big Data.

Muhammad Yasir, Muhammad Asif Habib, Muhammad Ashraf, Shahzad Sarwar, Muhammad Umar Chaudhry, Hamayoun Shahwani, Mudassar Ahmad, Chaudhry Muhammad Nadeem Faisal

IEEE Access, 2020

2019

TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data.

Muhammad Yasir, Muhammad Asif Habib, Muhammad Ashraf, Shahzad Sarwar, Muhammad Umar Chaudhry, Hamayoun Shahwani, Mudassar Ahmad, Chaudhry Muhammad Nadeem Faisal

IEEE Access, 2019

2018

MOTiFS: Monte Carlo Tree Search Based Feature Selection.

Muhammad Umar Chaudhry, Jee-Hyong Lee

Entropy, 2018

Feature Selection for High Dimensional Data Using Monte Carlo Tree Search.

Muhammad Umar Chaudhry, Jee-Hyong Lee

IEEE Access, 2018

2017

An Effective Feature Selection method using Monte Carlo Search.

Muhammad Umar Chaudhry, Sang-Wook Kim, Jee-Hyong Lee

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017

2016

OPENTCQ: Towards Change Management in Hybrid Agile Model.

Jamshaid Iqbal Janjua, Aatka Ali, Muhammad Umar Chaudhry

Proceedings of the 7th International Conference on Computing Communication and Networking Technologies, 2016