Technoarete Transactions on Advances in Computer Applications (ISSN: 2583-3472)

Description

Technoarete Transactions on Advances in Computer Applications (TTACA) is an International peer reviewed, open access journal aiming to publish high quality original research, review articles, short communications, case reports, technical notes and editorials. This journal is started in the year 2022 and the publication language is English. We offer a wide range of knowledge on new trends and advances that contribute significantly to further the scientific knowledge related to fundamental and applied research covering all aspects of Computer Application. This journal serves as an excellent platform for research scientists, academicians and industry professionals to showcase the recent research in various aspects of Computer and Applications. The journal publishes articles four times a year (Quarterly). You can download the format for submitting the paper from the manuscript template. The goal of this journal is to provide a platform for authors all over the world to promote, share, and discuss various new issues and developments and contribute through their research and scholarly outputs without any subscription fee.
Technoarete Transactions on Advances in Computer Applications include but are not confined to the following topics:
1. Quantum Computing
2. Software Engineering
3. Bioinformatics
4. Optimization Techniques
5. Control Theory
6. Software Security
7. Image Processing
8. Internet Technologies
9. Pattern recognition
10. Information Processing
11. Real-Time Systems
12. Web Services
13. Object Oriented Systems
14. Computer Architecture
15. High Performance Computing
16. Evolutionary Computing
17. Computer Graphics and Animation
18. Computer Networks
19. Digital Signal Processing
20. Modelling and Simulation
21. Multimedia Technologies
22. Operating Systems
23. Information Retrieval
24. Management Information Systems
25. Enterprise Resource Planning
26. Wireless Networks
27. Mobile Computing
28. Expert Systems
29. Computer Aided Learning
30. CAD/CDM CAE and CIM