Muhammad Usman Tariq

According to our database, Muhammad Usman Tariq authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

SKALP: Secure key agreement and lightweight protocol for dew-assisted IoT enabled edge computing.

Saeed Ullah Jan, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Fahad Algarni, Syed Husnain Abbas Naqvi

Trans. Emerg. Telecommun. Technol., September, 2024

Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network.

Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq, Sarah Kaleem

IEEE Trans. Comput. Soc. Syst., August, 2024

A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning.

Sarah Kaleem, Adnan Sohail, Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq

Internet Things, April, 2024

Compiling Recurrences over Dense and Sparse Arrays.

Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad

Proc. ACM Program. Lang., 2024

Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion.

Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, Muhammad Usman Tariq, Humera Khan, Anwar Ghani

IEEE Access, 2024

Beyond the Illusion: Ensemble Learning for Effective Voice Deepfake Detection.

Ghulam Ali, Javed Rashid, Muhammad Rameez Ul Hussnain, Muhammad Usman Tariq, Anwar Ghani, Daehan Kwak

IEEE Access, 2024

A Deep Features Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification.

Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2023

An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing.

Muhammad Babar, Mian Ahmad Jan, Xiangjian He, Muhammad Usman Tariq, Spyridon Mastorakis, Ryan Alturki

IEEE Internet Things J., March, 2023

Image Encryption Scheme Based on Orbital Shift Pixels Shuffling with ILM Chaotic System.

Wajid Ali, Congxu Zhu, Rabia Latif, Muhammad Asim, Muhammad Usman Tariq

Entropy, 2023

Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data.

Dennies Tsietso, Abid Yahya, Ravi Samikannu, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi, Anis Koubaa

IEEE Access, 2023

Pre-Trained Model-Based NFR Classification: Overcoming Limited Data Challenges.

Kiramat Rahman, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Arif Ur Rahman

IEEE Access, 2023

2022

Smart teledentistry healthcare architecture for medical big data analysis using IoT-enabled environment.

Muhammad Babar, Muhammad Usman Tariq, Mohammad Dahman Alshehri, Fasee Ullah, Muhammad Irfan Uddin

Sustain. Comput. Informatics Syst., 2022

2021

BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System.

Sen Xu, Ryan Alturki, Ateeq Ur Rehman, Muhammad Usman Tariq

Mob. Networks Appl., 2021

Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey.

Muhammad Usman Tariq, Muhammad Haseeb, Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed

IEEE Access, 2021

Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter.

Muhammad Usman Tariq, Dennys Leyvay, Francisco Alberto Fernandez Limaz, Fahad Saeed

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

An Improved Framework for Modelling Data Warehouse Systems Using UML Profile.

Muhammad Babar, Akmal Saeed Khattak, Fahim Arif, Muhammad Usman Tariq

Int. Arab J. Inf. Technol., July, 2020

Human Proteome and Peptides.

Muhammad Usman Tariq

Dataset, January, 2020

SafeCity: Toward Safe and Secured Data Management Design for IoT-Enabled Smart City Planning.

Hui Zhang, Muhammad Babar, Muhammad Usman Tariq, Mian Ahmad Jan, Varun G. Menon, Xingwang Li

IEEE Access, 2020

2018

Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs.

Muhammad Usman Tariq, Fahad Saeed

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Power-efficient and highly scalable parallel graph sampling using FPGAs.

Muhammad Usman Tariq, Umer I. Cheema, Fahad Saeed

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017