Muhammad Imran

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Foreground Detection

Heterogeneous Data Sources

Top Venues

Comput. Electr. Eng.

J. Ambient Intell. Humaniz. Comput.

Publications

Maram Fahhad Almufareh, Muhammad Imran, Abdullah Khan, Mamoona Humayun, Muhammad Asim
Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning. IEEE Access 12 (2024)
Abdullah Khan, Junaid Bukhari, Javed Iqbal Bangash, Asfandyar Khan, Muhammad Imran, Muhammad Asim, Muhammad Ishaq, Arshad Khan
Optimizing connection weights of functional link neural network using APSO algorithm for medical data classification. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part A) (2022)
Muhammad Imran, Sangeen Khan, Helmut Hlavacs, Fakhri Alam Khan, Sajid Anwar
Intrusion detection in networks using cuckoo search optimization. Soft Comput. 26 (20) (2022)
Fakhri Alam Khan, Muhammad Nawaz, Muhammad Imran, Arif Ur Rahman, Fawad Qayum
Foreground detection using motion histogram threshold algorithm in high-resolution large datasets. Multim. Syst. 27 (4) (2021)
Abdullah Khan, Haruna Chiroma, Muhammad Imran, Asfandyar Khan, Javed Iqbal Bangash, Muhammad Asim, Mukhtar Fatihu Hamza, Hanan Aljuaid
Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC). Comput. Electr. Eng. 86 (2020)
Fakhri Alam Khan, Awais Ahmad, Muhammad Imran
Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks. Int. J. Parallel Program. 48 (2) (2020)
Fakhri Alam Khan, Mujeeb ur Rehman, Afsheen Khalid, Muhammad Ali, Muhammad Imran, Muhammad Nawaz, Attaur Rahman
An Intelligent Data Service Framework for Heterogeneous Data Sources. J. Grid Comput. 17 (3) (2019)
Abdullah Khan, Rahmat Shah, Muhammad Imran, Asfandyar Khan, Javed Iqbal Bangash, Shah Khalid
An alternative approach to neural network training based on hybrid bio meta-heuristic algorithm. J. Ambient Intell. Humaniz. Comput. 10 (10) (2019)
Bilal Jan, Haleem Farman, Murad Khan, Muhammad Imran, Ihtesham Ul Islam, Awais Ahmad, Shaukat Ali, Gwanggil Jeon
Deep learning in big data Analytics: A comparative study. Comput. Electr. Eng. 75 (2019)
Fakhri Alam Khan, Sadaf Shaheen, Muhammad Asif, Atta Ur Rahman, Muhammad Imran, Saeed Ur Rehman
Towards reliable and trustful personal health record systems: a case of cloud-dew architecture based provenance framework. J. Ambient Intell. Humaniz. Comput. 10 (10) (2019)
Muhammad Ishaq, Asfandyar Khan, Majid Khan, Muhammad Imran
Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences. IEEE Access 7 (2019)
Afsheen Khalid, Fakhri Alam Khan, Muhammad Imran, Mafawez Alharbi, Murad Khan, Awais Ahmad, Gwanggil Jeon
Reference terms identification of cited articles as topics from citation contexts. Comput. Electr. Eng. 74 (2019)
Muhammad Imran, Helmut Hlavacs, Fakhri Alam Khan, Saima Jabeen, Fiaz Gul Khan, Sajid Shah, Mafawez Alharbi
Aggregated provenance and its implications in clouds. Future Gener. Comput. Syst. 81 (2018)
Muhammad Imran, Helmut Hlavacs
Layering of the Provenance Data for Cloud Computing. GPC (2013)
Muhammad Imran, Helmut Hlavacs
Searching in Cloud Object Storage by Using a Metadata Model. SKG (2013)
Muhammad Imran, Helmut Hlavacs
Applications of Provenance Data for Cloud Infrastructure. SKG (2012)