Current cutting-edge research in computer science-Reference-Cited by-同舟云学术

Current cutting-edge research in computer science

Published:2022-01-15 Issue: Volume: Page:1-4
ISSN:
Container-title:Mesopotamian Journal of Computer Science
language:
Short-container-title:

Author:

Yaseen Mohanad Ghazi¹^ORCID,Aljanabi Mohammad¹^ORCID,Ali Ahmed Hussein²^ORCID,Abd Saad Abbas³

Affiliation:

1. Department of Computer, College of Education, AL-Iraqia University, Baghdad, Iraq.

2. AL Salam University College Computer Science Department Baghdad, Iraq

3. Department of Computer, College of Education, AL-Iraqia University, Baghdad, Iraq

Abstract

Computer science research is a rapidly evolving field that is shaping the future of technology. From artificial intelligence and machine learning to image processing and cybersecurity, researchers are constantly pushing the boundaries of what is possible. In this editorial, we will explore some of the current trends in computer science research and their potential impact on society. After searching the most prestigious academic databases, we settle on a list of subjects widely recognized as cutting-edge in the field of computer science.

Publisher

Mesopotamian Academic Press

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Infectious Diseases,Communication,Ecology,Ecology, Evolution, Behavior and Systematics,Forestry,Education,Business, Management and Accounting (miscellaneous),Accounting,Business and International Management,General Engineering,Law,Computer Science (miscellaneous),Law,Pathology and Forensic Medicine

Reference18 articles.

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2. 1. De Souza, G.H., et al. Feature Extraction for a Genetic Programming-Based Brain-Computer Interface. in Brazilian Conference on Intelligent Systems. 2022. Springer.

3. 2. Birbaumer, N., et al., A spelling device for the paralysed. 1999. 398(6725): p. 297-298.

4. 3. Pfurtscheller, G.J.C.N., Brain-Cmputer Interfaces for communication and control. 2002. 113: p. 767-791.

5. 4. Hochberg, L.R., et al., Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. 2012. 485(7398): p. 372-375.

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