Artificial Intelligence Enabled Cognitive Computing for AlN/β-Ga<sub>2</sub>O<sub>3</sub> HEMT
HEMT devices have potential to handle the fast processing in applications such as real-time diagnostics utilizing the artificial-intelligence (AI) enhanced abilities. Along-with this HEMT devices can be extensively used in radar and defense systems to obtain faster response time and threat detection. This integration of AI and cognitive computing enables pattern-recognition and adaptive learning. The cognitive computing techniques integrated with HEMT enables the real-time analysis and predictions. For precise sensor data the amplification should be done at either no or very less noise levels.
Authors
- Khushboo
- Sanjeet Kumar Sinha (ORCID: https://orcid.org/0000-0002-7581-4645)
- Yogesh Kumar Verma (ORCID: https://orcid.org/0000-0001-9730-7399)
- Kamal Bhatia
- Tania Roy (ORCID: https://orcid.org/0000-0003-1131-8068)
- Aastha Bhanot
- Laksh
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1109/cictn64563.2025.10932586
- Primary Topic
- Ga2O3 and related materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00