Rishabh Anand
Vivekananda Global University(IN)University of Maryland, Baltimore County(US)
Publications by Year
Research Areas
EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis, Artificial Intelligence in Healthcare, Imbalanced Data Classification Techniques, Diabetes, Cardiovascular Risks, and Lipoproteins
Most-Cited Works
- → A predictive method for emotional sentiment analysis by deep learning from EEG of brainwave dataset(2022)20 cited
- → gRNAde: Geometric Deep Learning for 3D RNA inverse design(2024)17 cited
- → Leveraging deep learning models for continuous glucose monitoring and prediction in diabetes management: towards enhanced blood sugar control(2024)15 cited
- → Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images(2025)13 cited
- → A predictive method for emotional sentiment analysis by machine learning from electroencephalography of brainwave data(2023)11 cited
- → Clinical Significance of Measles and Its Prediction Using Data Mining Techniques: A Systematic Review(2020)5 cited
- → Pretrained Encoders are All You Need(2021)2 cited
- → Thyroid Disease Multi-Class Classification(2025)2 cited
- Linear Integrated Circuits(2014)
- → An Intellectual Fusion Classification Prototypical for an Imbalanced Electrocardiogram Data(2023)1 cited