Design of IOT network using deep learning-based model for anomaly detection
S Varalakshmi, SP Premnath… - … Conference on I …, 2021 - ieeexplore.ieee.org
Destructive cyber-attacks and cybercriminals are increasing with the increase in IoT (Internet
of Things) devices globally. This ha/s led to the need for increase in security in IoT systems …
of Things) devices globally. This ha/s led to the need for increase in security in IoT systems …
IoT secure framework for wearable sensor data for e-health system
RS Rai, SK Indumathi, D Pritima… - 2021 Fifth International …, 2021 - ieeexplore.ieee.org
The risk of infection among people may be reduced dramatically with the reduction in patient
movement especially during the pandemic situation like the COVID-19 virus. In such …
movement especially during the pandemic situation like the COVID-19 virus. In such …
[PDF][PDF] Implementation of Machine Learning based E-Healthcare in an Internet of Things Environment
R Kumar - 2023 - researchgate.net
Due to the availability of vast amounts of data related to various diseases, a heterogeneous
environment, structured and unstructured data, and people's awareness of their individual …
environment, structured and unstructured data, and people's awareness of their individual …
Mercury Detection in Marine Environment using Electrospun Nanofibers as Colorimetric Sensor
TB Sheeba, V Nandagopal… - IOP Conference …, 2021 - iopscience.iop.org
Potable water from sea/ocean is becoming contaminated at a fast rate and there is need for
monitoring this rate of contamination. There are a number of pollutants that cause …
monitoring this rate of contamination. There are a number of pollutants that cause …