All Stories

  1. Revolutionising health monitoring: IOT-Based system with machine learning classification
  2. Comparative analysis of parametric B-spline and Hermite cubic spline based methods for accurate ECG signal modeling
  3. Entropy generation in newtonian vs non-newtonian nanofluid flow under vibration
  4. Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach
  5. Exploring heat transfer augmentation and entropy generation in nanofluid flow induced by vibration: Influence of velocity and rheological properties
  6. Exploring a new frontier in cardiac diagnosis: ECG analysis enhanced by machine learning and parametric quartic spline modeling
  7. Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges
  8. A comprehensive analysis of the challenges and potential side effects of radiation therapy for palliative cancer treatment
  9. Parametric B-spline method for synthetic ECG signal generation: An alternative approach to addressing challenges in ECG analysis
  10. A piecewise spline approach for modeling of ECG signals
  11. A Neoteric Parametric Representation and Classification of ECG Signal
  12. A New Adaptive Modeling and Denoising of Real ECG signal
  13. Recapitulation of Synthetic ECG Signal Generation methods and Analysis
  14. THE EFFICIENT HIGHWAY MANAGEMENT SYSTEM: ILLUMINATING ROADS OF FUTURE