Atta-Ur Rahman (Atta Rahman, Atta Ur Rahman)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Venues

Computational intelligence and neuroscience

Sensors (Basel, Switzerland)

Computational and mathematical methods in medicine

Journal of healthcare engineering

Imam Abdulrahman Bin Faisal University

Isra University, Islamabad Campus (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Imam Abdulrahman Bin Faisal University Sep 05 2016

Saudi Arabia

Assistant Professor :: Computer Science

Education History

Isra University, Islamabad Campus Aug 01 2009 - Feb 11 2013

Pakistan

PHD :: Electronic Engineering

International Islamic University Apr 01 2006 - Sep 01 2008

Pakistan

MSC :: Electronic Engineering

University of the Punjab Sep 01 1999 - Apr 01 2004

Pakistan

BSC :: Computer Science

Publications

Mohammed Salih Ahmed, Atta-Ur Rahman, Faris AlGhamdi, Saleh AlDakheel, Hammam Hakami, Ali AlJumah, Zuhair AlIbrahim, Mustafa Youldash, Mohammad Aftab Alam Khan, Mohammed Imran Basheer Ahmed
Joint Diagnosis of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images: A Deep Learning Approach. Diagnostics (Basel, Switzerland) 13 (15) (2023)
Farmanullah Jan, Atta-Ur Rahman, Roaa Busaleh, Haya Alwarthan, Samar Aljaser, Sukainah Al-Towailib, Safiyah Alshammari, Khadeejah Rasheed Alhindi, Asrar Almogbil, Dalal A Bubshait, Mohammed Imran Basheer Ahmed
Assessing Acetabular Index Angle in Infants: A Deep Learning-Based Novel Approach. Journal of imaging 9 (11) (2023)
Taher M Ghazal, Hussam Al Hamadi, Muhammad Umar Nasir, Atta-Ur Rahman, Mohammed Gollapalli, Muhammad Zubair, Muhammad Adnan Khan, Chan Yeob Yeun
Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction. Computational intelligence and neuroscience 2022 (2022)
Atta-Ur Rahman, Rizwana Naz Asif, Kiran Sultan, Suleiman Ali Alsaif, Sagheer Abbas, Muhammad Adnan Khan, Abdolhossein Hemmati-Sarapardeh
ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches. Computational intelligence and neuroscience 2022 (2022)
Muhammad Umar Nasir, Taher M Ghazal, Muhammad Adnan Khan, Muhammad Zubair, Atta-Ur Rahman, Rashad Ahmed, Hussam Al Hamadi, Chan Yeob Yeun
Breast Cancer Prediction Empowered with Fine-Tuning. Computational intelligence and neuroscience 2022 (2022)
Fahd Alhaidari, Nouran Abu Shaib, Maram Alsafi, Haneen Alharbi, Majd Alawami, Reem Aljindan, Atta-Ur Rahman, Rachid Zagrouba
ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques. Computational intelligence and neuroscience 2022 (2022)
Muhammad Umar Nasir, Muhammad Zubair, Taher M Ghazal, Muhammad Farhan Khan, Munir Ahmad, Atta-Ur Rahman, Hussam Al Hamadi, Muhammad Adnan Khan, Wathiq Mansoor
Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning. Sensors (Basel, Switzerland) 22 (19) (2022)
Rizwana Naz Asif, Sagheer Abbas, Muhammad Adnan Khan, Atta-Ur Rahman, Kiran Sultan, Maqsood Mahmud, Abdolhossein Hemmati-Sarapardeh
Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning. Computational intelligence and neuroscience 2022 (2022)
Muhammad Umar Nasir, Safiullah Khan, Shahid Mehmood, Muhammad Adnan Khan, Atta-Ur Rahman, Seong Oun Hwang
IoMT-Based Osteosarcoma Cancer Detection in Histopathology Images Using Transfer Learning Empowered with Blockchain, Fog Computing, and Edge Computing. Sensors (Basel, Switzerland) 22 (14) (2022)
Atta-Ur Rahman, Abdullah Alqahtani, Nahier Aldhafferi, Muhammad Umar Nasir, Muhammad Farhan Khan, Muhammad Adnan Khan, Abdolhossein Hemmati-Sarapardeh
Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning. Sensors (Basel, Switzerland) 22 (10) (2022)
Atta-Ur Rahman, Sagheer Abbas, Mohammed Gollapalli, Rashad Ahmed, Shabib Aftab, Munir Ahmad, Muhammad Adnan Khan, Abdolhossein Hemmati-Sarapardeh
Rainfall Prediction System Using Machine Learning Fusion for Smart Cities. Sensors (Basel, Switzerland) 22 (9) (2022)
Atta-Ur Rahman, Kiran Sultan, Nahier Aldhafferi, Abdullah Alqahtani, Maqsood Mahmud
Reversible and Fragile Watermarking for Medical Images. Computational and mathematical methods in medicine 2018 (2018)
Atta-Ur Rahman, Kiran Sultan, Dhiaa Musleh, Nahier Aldhafferi, Abdullah Alqahtani, Maqsood Mahmud
Robust and Fragile Medical Image Watermarking: A Joint Venture of Coding and Chaos Theories. Journal of healthcare engineering 2018 (2018)

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Publication Activity (10 Years)

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Atta-Ur Rahman (Atta Rahman, Atta Ur Rahman)