The (Virtual AWK and Unified Modeling) VAWKUM Transactions on Computer Sciences is a yearly peer-reviewed scientific journal published by the VFAST-Research Platform. It was established in 2013 and covers the areas of Computer Sciences and its applications. The goal of this journal is to provide an international platform for computer scientists and academicians all over the world to promote, share, and discuss various new issues and development in the field of Computer Science and its application.
ISSN: 2308-8168 (Online), 2411-6335 (Print)
Editor in Chief: Prof. Sher Afzal Khan, Abdul Wali Khan University Mardan
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Vol 9, No 1 (2021): January-December
Table of Contents
Articles
| A Survey of Feature Extraction and Feature Selection Techniques used in Machine Learning-Based Botnet Detection Schemes | |
| Akinyemi Moruff Oyelakin, Jimoh Rasheed G | 01-07 |
| New Approach to Distributed Flood Prediction Model using Agents based Communication | |
| Naveed Qasim | 08-22 |
| Discrimination of SARS-COV2 virus protein strain of three major affected countries: USA, China, and Germany | |
| Khalid Allehaibi | 23-33 |
| Specification of Operating Rules for Water Reservoir to Manage Flood Using Z-Notation | |
| Hasrat Alam | 34-46 |
| Analyzing updates in Amino Acid Composition and Translation Algorithm towards Predicting Membrane Proteins using Machine Learning Approaches | |
| Abdulsalam Mohammed Alfarsi, Abdulrahman Mohammed Alghanmi | 47-70 |
This work is licensed under a Creative Commons Attribution 3.0 License.