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Muhammad Usman Tariq
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2020 – today
- 2024
- [j15]Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, Muhammad Usman Tariq, Humera Khan, Anwar Ghani:
Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion. IEEE Access 12: 40947-40961 (2024) - [j14]Ghulam Ali, Javed Rashid, Muhammad Rameez Ul Hussnain, Muhammad Usman Tariq, Anwar Ghani, Daehan Kwak:
Beyond the Illusion: Ensemble Learning for Effective Voice Deepfake Detection. IEEE Access 12: 149940-149959 (2024) - [j13]Saeed Ullah Jan, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Fahad Algarni, Syed Husnain Abbas Naqvi:
SKALP: Secure key agreement and lightweight protocol for dew-assisted IoT enabled edge computing. Trans. Emerg. Telecommun. Technol. 35(9) (2024) - [j12]Sarah Kaleem, Adnan Sohail, Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq:
A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning. Internet Things 25: 101038 (2024) - [j11]Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad:
Compiling Recurrences over Dense and Sparse Arrays. Proc. ACM Program. Lang. 8(OOPSLA1): 250-275 (2024) - [j10]Muhammad Babar, Awais Ahmad, Muhammad Usman Tariq, Sarah Kaleem:
Real-Time Fake News Detection Using Big Data Analytics and Deep Neural Network. IEEE Trans. Comput. Soc. Syst. 11(4): 5189-5198 (2024) - [c4]Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq:
A Deep Features Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification. MIPR 2024: 239-242 - [i2]Muhammad Arslan, Muhammad Mubeen, Arslan Akram, Saadullah Farooq Abbasi, Muhammad Salman Ali, Muhammad Usman Tariq:
A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification. CoRR abs/2408.07922 (2024) - 2023
- [j9]Dennies Tsietso, Abid Yahya, Ravi Samikannu, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi, Anis Koubaa:
Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data. IEEE Access 11: 52101-52116 (2023) - [j8]Kiramat Rahman, Anwar Ghani, Abdulrahman Alzahrani, Muhammad Usman Tariq, Arif Ur Rahman:
Pre-Trained Model-Based NFR Classification: Overcoming Limited Data Challenges. IEEE Access 11: 81787-81802 (2023) - [j7]Wajid Ali, Congxu Zhu, Rabia Latif, Muhammad Asim, Muhammad Usman Tariq:
Image Encryption Scheme Based on Orbital Shift Pixels Shuffling with ILM Chaotic System. Entropy 25(5): 787 (2023) - [j6]Muhammad Babar, Mian Ahmad Jan, Xiangjian He, Muhammad Usman Tariq, Spyridon Mastorakis, Ryan Alturki:
An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing. IEEE Internet Things J. 10(5): 3995-4005 (2023) - [i1]Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad:
Compiling Recurrences over Dense and Sparse Arrays. CoRR abs/2309.04660 (2023) - 2022
- [j5]Muhammad Babar, Muhammad Usman Tariq, Mohammad Dahman Alshehri, Fasee Ullah, Muhammad Irfan Uddin:
Smart teledentistry healthcare architecture for medical big data analysis using IoT-enabled environment. Sustain. Comput. Informatics Syst. 35: 100719 (2022) - 2021
- [j4]Muhammad Usman Tariq, Muhammad Haseeb, Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed:
Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey. IEEE Access 9: 5497-5516 (2021) - [j3]Sen Xu, Ryan Alturki, Ateeq Ur Rehman, Muhammad Usman Tariq:
BP Neural Network Combination Prediction for Big Data Enterprise Energy Management System. Mob. Networks Appl. 26(1): 184-190 (2021) - [c3]Muhammad Usman Tariq, Dennys Leyvay, Francisco Alberto Fernandez Limaz, Fahad Saeed:
Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter. BIBM 2021: 3742-3746 - 2020
- [j2]Hui Zhang, Muhammad Babar, Muhammad Usman Tariq, Mian Ahmad Jan, Varun G. Menon, Xingwang Li:
SafeCity: Toward Safe and Secured Data Management Design for IoT-Enabled Smart City Planning. IEEE Access 8: 145256-145267 (2020) - [j1]Muhammad Babar, Akmal Saeed Khattak, Fahim Arif, Muhammad Usman Tariq:
An Improved Framework for Modelling Data Warehouse Systems Using UML Profile. Int. Arab J. Inf. Technol. 17(4): 562-571 (2020) - [d1]Muhammad Usman Tariq:
Human Proteome and Peptides. IEEE DataPort, 2020
2010 – 2019
- 2018
- [c2]Muhammad Usman Tariq, Fahad Saeed:
Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs. IEEE BigData 2018: 4752-4761 - 2017
- [c1]Muhammad Usman Tariq, Umer I. Cheema, Fahad Saeed:
Power-efficient and highly scalable parallel graph sampling using FPGAs. ReConFig 2017: 1-6
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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