K. Ramkumar
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH, SASTRA Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-2988-1852as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5051972889as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques,
Adaptive Model Predictive Controller for Web Transport Systems,
A model-based approach for design and verification of Industrial Internet of Things,
A novel deep learning framework based swin transformer for dermal cancer cell classification,
A novel hybrid vision UNet architecture for brain tumor segmentation and classification,
Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning,
Classification of focal and non focal EEG using entropies,
Enhanced AI Based Diabetic Risk Prediction Using Feature Scaled Ensemble Learning Technique Based on Cloud Computing
+9 more
← Authored by 17
A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques,
Adaptive Model Predictive Controller for Web Transport Systems,
A model-based approach for design and verification of Industrial Internet of Things,
A novel deep learning framework based swin transformer for dermal cancer cell classification,
A novel hybrid vision UNet architecture for brain tumor segmentation and classification,
Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning,
Classification of focal and non focal EEG using entropies,
Enhanced AI Based Diabetic Risk Prediction Using Feature Scaled Ensemble Learning Technique Based on Cloud Computing
+9 more
Affiliated with 2
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Summary
K. Ramkumar is a human[1].