Applications of Provenance Data for Cloud Infrastructure. - Muhammad Imran 014; Helmut Hlavacs (SKG, 2012)

Layering of the Provenance Data for Cloud Computing. - Muhammad Imran 014; Helmut Hlavacs (GPC, 2013)

Searching in Cloud Object Storage by Using a Metadata Model. - Muhammad Imran 014; Helmut Hlavacs (SKG, 2013)

Aggregated provenance and its implications in clouds. - Muhammad Imran 014; Helmut Hlavacs; Fakhri Alam Khan; Saima Jabeen; Fiaz Gul Khan; Sajid Shah; Mafawez T. Alharbi (Future Gener. Comput. Syst., 2018)

Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences. - Muhammad Ishaq; Asfandyar Khan; Majid Khan; Muhammad Imran 014 (IEEE Access, 2019)

Deep learning in big data Analytics: A comparative study. - Bilal Jan; Haleem Farman; Murad Khan; Muhammad Imran 014; Ihtesham Ul Islam; Awais Ahmad 001; Shaukat Ali 002; Gwanggil Jeon (Comput. Electr. Eng., 2019)

Reference terms identification of cited articles as topics from citation contexts. - Afsheen Khalid; Fakhri Alam Khan; Muhammad Imran 014; Mafawez T. Alharbi; Murad Khan; Awais Ahmad 001; Gwanggil Jeon (Comput. Electr. Eng., 2019)

An Intelligent Data Service Framework for Heterogeneous Data Sources. - Fakhri Alam Khan; Mujeeb ur Rehman; Afsheen Khalid; Muhammad Ali; Muhammad Imran 014; Muhammad Nawaz; Attaur Rahman (J. Grid Comput., 2019)

An alternative approach to neural network training based on hybrid bio meta-heuristic algorithm. - Abdullah Khan; Rahmat Shah; Muhammad Imran 014; Asfandyar Khan; Javed Iqbal Bangash; Shah Khalid (J. Ambient Intell. Humaniz. Comput., 2019)

Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework. - Fakhri Alam Khan; Sadaf Shaheen; Muhammad Asif 002; Atta Ur Rahman 002; Muhammad Imran 014; Saeed Ur Rehman (J. Ambient Intell. Humaniz. Comput., 2019)

Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC). - Abdullah Khan; Haruna Chiroma; Muhammad Imran 014; Asfandyar Khan; Javed Iqbal Bangash; Muhammad Asim; Mukhtar Fatihu Hamza; Hanan Aljuaid (Comput. Electr. Eng., 2020)

Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks. - Fakhri Alam Khan; Awais Ahmad 001; Muhammad Imran 014 (Int. J. Parallel Program., 2020)

Foreground detection using motion histogram threshold algorithm in high-resolution large datasets. - Fakhri Alam Khan; Muhammad Nawaz; Muhammad Imran 014; Arif Ur Rahman; Fawad Qayum (Multim. Syst., 2021)

A dynamic swift association scheme for wireless body area networks. - Adil Sheraz; Javed Iqbal Bangash; Abdul Waheed Khan; Muhammad Imran 014; Asfandyar Khan; Abdul Khan; Muhammad Ishaq; Wajid Ullah Khan (Trans. Emerg. Telecommun. Technol., 2022)

Optimizing connection weights of functional link neural network using APSO algorithm for medical data classification. - Abdullah Khan; Junaid Bukhari; Javed Iqbal Bangash; Asfandyar Khan; Muhammad Imran 014; Muhammad Asim; Muhammad Ishaq; Arshad Khan (J. King Saud Univ. Comput. Inf. Sci., 2022)

Intrusion detection in networks using cuckoo search optimization. - Muhammad Imran 014; Sangeen Khan; Helmut Hlavacs; Fakhri Alam Khan; Sajid Anwar (Soft Comput., 2022)

Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning. - Maram Fahhad Almufareh; Muhammad Imran 014; Abdullah Khan; Mamoona Humayun; Muhammad Asim (IEEE Access, 2024)

Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches. - Fakhri Alam Khan; Abdullah Khan; Muhammad Imran 014; Awais Ahmad 001; Gwanggil Jeon (Expert Syst. J. Knowl. Eng., 2025)