Dr. Mustafa Abbas Abbood, a faculty member at the College of Industrial Management for Oil and Gas, has published a significant new research paper in the journal Multimedia Tools and Applications, published by the global publisher Springer Nature.
The research, titled "Improved kidney-inspired algorithm-extreme learning machine for spoken language identification", represents a major scientific contribution to the field of Artificial Intelligence, specifically in the classification of spoken languages.
Key Highlights of the Achievement:
Journal Prestige: The journal is ranked within the Q1 category (top tier) in Scopus databases.
Impact Factor: It boasts a CiteScore of 7.7, reflecting its high influence in the scientific community.
Innovation: The study proposes a new AI technique designed to identify and classify various spoken languages through the advanced analysis of acoustic data.
Scientific Impact: This work provides a direct and substantial impact on the development of AI systems for speech recognition and linguistic analysis.
Government Media and Communications Department
