Faisal Azam - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Deep-Learning-Based COVID-19 Detection: Challenges and Future DirectionsQurat-ul-Ain Arshad, Wazir Zada Khan, Faisal Azam, Muhammad Khurram Khan. tai, 4(2):210-228, April 2023. [doi]

Pedestrian identification using motion-controlled deep neural network in real-time visual surveillanceMuhammad Zahid, Muhammad Attique Khan, Faisal Azam, Muhammad Sharif 0001, Seifedine Kadry 0001, Jnyana Ranjan Mohanty. soco, 27(1):453-469, 2023. [doi]

2022

An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiographMuhammad Junaid Umer, Javeria Amin, Muhammad Sharif 0001, Muhammad Almas Anjum, Faisal Azam, Jamal Hussain Shah. concurrency, 34(20), 2022. [doi]

2021

Aircraft Classification Based on PCA and Feature Fusion Techniques in Convolutional Neural NetworkFaisal Azam, Akash Rizvi, Wazir Zada Khan, Mohammed Y. Aalsalem, Heejung Yu, Yousaf Bin Zikria. access, 9:161683-161694, 2021. [doi]

2020

Integrated design of deep features fusion for localization and classification of skin cancerJaveria Amin, Abida Sharif, Nadia Gul, Muhammad Almas Anjum, Muhammad Wasif Nisar, Faisal Azam, Syed Ahmad Chan Bukhari. prl, 131:63-70, 2020. [doi]

2012

Agent Based Prediction of Seismic Time Series DataFaisal Azam, Sajjad Mohsin. fit 2012: 269-274 [doi]

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