An optimal intrusion detection system using recursive feature elimination and ensemble of classifiers
With the rapid growth and advancement in technology, we are becoming more and more
dependent on the internet for our day-to-day work. As a result of this, we have become an …
dependent on the internet for our day-to-day work. As a result of this, we have become an …
Gaussian distribution-based machine learning scheme for anomaly detection in healthcare sensor cloud
Smart information systems are based on sensors that generate a huge amount of data. This
data can be stored in cloud for further processing and efficient utilization. Anomalous data …
data can be stored in cloud for further processing and efficient utilization. Anomalous data …
[HTML][HTML] A novel machine learning-based approach for outlier detection in smart healthcare sensor clouds
A smart healthcare sensor cloud is an amalgamation of the body sensor networks and the
cloud that facilitates the early diagnosis of diseases and the real-time monitoring of patients …
cloud that facilitates the early diagnosis of diseases and the real-time monitoring of patients …
Density-based machine learning scheme for outlier detection in smart forest fire monitoring sensor cloud
RK Dwivedi - International Journal of Cloud Applications and …, 2022 - igi-global.com
Sensor Cloud is an integration of sensor networks with cloud where sensed data is stored
and processed in the cloud. The applications of sensor cloud can be seen in forest fire …
and processed in the cloud. The applications of sensor cloud can be seen in forest fire …
[HTML][HTML] Machine learning enabled millimeter wave cellular system and beyond
R Wang - 2022 - theses.gla.ac.uk
Millimeter-wave (mmWave) communication with advantages of abundant bandwidth and
immunity to interference has been deemed a promising technology for the next generation …
immunity to interference has been deemed a promising technology for the next generation …