University of Wah Journal of Computer Science | Journament

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University of Wah Journal of Computer Science

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Short Name UWJCS
Abbreviated Name UWJCS
ISSN 2709-1988
Aim and Scope About the Journal The ‘University of Wah Journal of Computer Science’ (UWJCS) is published annually by the University of Wah, Pakistan. It is an international journal dedicated to smart emerging technologies, their understanding, and applications in computer science and engineering. The ‘University of Wah Journal of Computer Science’ (UWJCS) provides an international forum for researchers, thereby improving the understanding and exploring the latest research area and promoting the transfer of knowledge/research findings to respective communities. It is devoted to publishing articles that advance knowledge of the practical and theoretical aspects of the latest computer science and engineering technologies. This Journal provides a framework for disseminating research and academic brilliance. Basically, computer science and engineering studies allow us to develop a broad understanding of systems as well as solutions with fundamental knowledge. This journal covers the gap between fundamental knowledge and the latest emerging technologies in relevant areas. The journal encompasses the broad spectrum of computer science and engineering state-of-the-art research areas with a focus on Artificial Intelligence/ Computer Vision, Internet of Things (IoT)/ Wireless Sensor Networks, Distributed Computing, Computer Networks, Social Network Analysis, Data Science, Data/Web mining, Digital Image processing/ Pattern Recognition, Control Systems, High-Performance Computing, Cloud Computing, Data Communication, Machine Learning, Natural Language Processing, and other relevant areas.
URL https://uwjcs.org.pk/index.php/ojs/index
Author Instructions https://uwjcs.org.pk/index.php/ojs/instructions_to_authors

Publications Per Year

Recent Articles (2 total)

2018
Image Segmentation Of Medical Images Using Deformable Model
Vol. 1 , No. 1 , pp. -
24 views DOI Abstract
2018
Synonyms Detection in Folk Tag Set: A Novel Hybrid Solution
Vol. 1 , No. 1 , pp. -
21 views DOI Abstract
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