( en | de | ru )

 

Disambiguation of "Khan, Muhammad Usman Ghani"

Author of the publication

copydeleteadd this publication to your clipboard
Generating natural language tags for video information management.

, and . Mach. Vis. Appl., 28 (3-4): 243-265 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Muhammad Usman

Muhammad Usman Anwar

Muhammad Usman Malik

Nur Muhammad Khan

Muhammad Yunus Khan

 

Other publications of authors with the same name

A Robust Hybrid Approach for Textual Document Classification., , , , and . ICDAR, page 1390-1396. IEEE, (2019)Generating natural language tags for video information management., and . Mach. Vis. Appl., 28 (3-4): 243-265 (2017)Human activity recognition using mixture of heterogeneous features and sequential minimal optimization., , , , and . Int. J. Mach. Learn. Cybern., 10 (9): 2329-2340 (2019)Application of intelligent agents in health-care: review., , , , and . Artif. Intell. Rev., 46 (1): 83-112 (2016)Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment., and . CoRR, (2023)Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification., , , , , and . Neural Comput. Appl., 33 (11): 5437-5469 (2021)Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network., , and . IEEE Access, (2023)Deep learning and blockchain fusion for detecting driver's behavior in smart vehicles., , , and . Internet Technol. Lett., (2020)GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification., , , , and . J. Biomed. Informatics, (2021)The University of Sheffield , Harbin University and University of Engineering & Technology, Lahore at TRECVID 2013: Instance Search & Semantic Indexing., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2013)