REAL-TIME HEALTH MONITORING USING MACHINE LEARNING  BASED OPTIMAL SENSORS OPERATION FORTIFICATIONS

Dr. P. Rajendra Prasad, Dr. C. Srinivasa Kumar, M. Parimala, Dr. Ranga Swamy Sirisati

REAL-TIME HEALTH MONITORING USING MACHINE LEARNING BASED OPTIMAL SENSORS OPERATION FORTIFICATIONS

Authors

Dr. P. Rajendra Prasad, Dr. C. Srinivasa Kumar, M. Parimala, Dr. Ranga Swamy Sirisati

Keywords:

Machine Learning Algorithms, Smart Health Monitoring, Intrusion Detection Systems, Wireless Sensor Systems.

Abstract

Real-time health monitoring has become increasingly essential in modernhealthcare systems to ensure early detection of abnormalities and continuous assessment of patients’ physiological conditions.

References

Hamad, A. A., Al-Obeidi, A. S., Al-Taiy, E. H., Khalaf, O. I., & Le, D. (2021). Synchronization phenomena investigation of a new nonlinear dynamical system 4d by gardano’s and lyapunov’s methods, Computers. Materials & Continua, 66(3), 3311–3327. doi:10.32604/cmc.2021.013395

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Published

2024-12-20

How to Cite

Dr. P. Rajendra Prasad, Dr. C. Srinivasa Kumar, M. Parimala, Dr. Ranga Swamy Sirisati. (2024). REAL-TIME HEALTH MONITORING USING MACHINE LEARNING BASED OPTIMAL SENSORS OPERATION FORTIFICATIONS. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7019–7027. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4094