Muhammad Imran

According to our database, Muhammad Imran authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning.

Maram Fahhad Almufareh, Muhammad Imran, Abdullah Khan, Mamoona Humayun, Muhammad Asim

IEEE Access, 2024

2022

Intrusion detection in networks using cuckoo search optimization.

Muhammad Imran, Sangeen Khan, Helmut Hlavacs, Fakhri Alam Khan, Sajid Anwar

Soft Comput., 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, Muhammad Asim, Muhammad Ishaq, Arshad Khan

J. King Saud Univ. Comput. Inf. Sci., 2022

A dynamic swift association scheme for wireless body area networks.

Adil Sheraz, Javed Iqbal Bangash, Abdul Waheed Khan, Muhammad Imran, Asfandyar Khan, Abdul Khan, Muhammad Ishaq, Wajid Ullah Khan

Trans. Emerg. Telecommun. Technol., 2022

2021

Foreground detection using motion histogram threshold algorithm in high-resolution large datasets.

Fakhri Alam Khan, Muhammad Nawaz, Muhammad Imran, Arif Ur Rahman, Fawad Qayum

Multim. Syst., 2021

2020

Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks.

Fakhri Alam Khan, Awais Ahmad, Muhammad Imran

Int. J. Parallel Program., 2020

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, Asfandyar Khan, Javed Iqbal Bangash, Muhammad Asim, Mukhtar Fatihu Hamza, Hanan Aljuaid

Comput. Electr. Eng., 2020

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, Atta Ur Rahman, Muhammad Imran, Saeed Ur Rehman

J. Ambient Intell. Humaniz. Comput., 2019

An alternative approach to neural network training based on hybrid bio meta-heuristic algorithm.

Abdullah Khan, Rahmat Shah, Muhammad Imran, Asfandyar Khan, Javed Iqbal Bangash, Shah Khalid

J. Ambient Intell. Humaniz. Comput., 2019

An Intelligent Data Service Framework for Heterogeneous Data Sources.

Fakhri Alam Khan, Mujeeb ur Rehman, Afsheen Khalid, Muhammad Ali, Muhammad Imran, Muhammad Nawaz, Attaur Rahman

J. Grid Comput., 2019

Reference terms identification of cited articles as topics from citation contexts.

Afsheen Khalid, Fakhri Alam Khan, Muhammad Imran, Mafawez T. Alharbi, Murad Khan, Awais Ahmad, Gwanggil Jeon

Comput. Electr. Eng., 2019

Deep learning in big data Analytics: A comparative study.

Bilal Jan, Haleem Farman, Murad Khan, Muhammad Imran, Ihtesham Ul Islam, Awais Ahmad, Shaukat Ali, Gwanggil Jeon

Comput. Electr. Eng., 2019

Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences.

Muhammad Ishaq, Asfandyar Khan, Majid Khan, Muhammad Imran

IEEE Access, 2019

2018

Aggregated provenance and its implications in clouds.

Muhammad Imran, Helmut Hlavacs, Fakhri Alam Khan, Saima Jabeen, Fiaz Gul Khan, Sajid Shah, Mafawez T. Alharbi

Future Gener. Comput. Syst., 2018

2013

Searching in Cloud Object Storage by Using a Metadata Model.

Muhammad Imran, Helmut Hlavacs

Proceedings of the Ninth International Conference on Semantics, Knowledge and Grids, 2013

Layering of the Provenance Data for Cloud Computing.

Muhammad Imran, Helmut Hlavacs

Proceedings of the Grid and Pervasive Computing - 8th International Conference, 2013

2012

Applications of Provenance Data for Cloud Infrastructure.

Muhammad Imran, Helmut Hlavacs

Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012