Attack detection in IoT using machine learning
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …
AIML‐Based Blockchain Solutions for IoMT
R Khurana, M Choudhary, A Singh… - Blockchain and Deep …, 2023 - Wiley Online Library
The ongoing increase in urbanization has required the social, ecological, and monetary
advancement of urban areas in order to fundamentally upgrade living conditions. The …
advancement of urban areas in order to fundamentally upgrade living conditions. The …
Liver disease detection: evaluation of machine learning algorithms performances with optimal thresholds
A Pan, S Mukhopadhyay, S Samanta - International Journal of …, 2022 - igi-global.com
Intelligent predictive systems are showing a greater level of accuracy and effectiveness in
early detection of critical diseases like cancer and liver and lung disease. Predictive models …
early detection of critical diseases like cancer and liver and lung disease. Predictive models …
Guidelines for using machine learning technology to ensure information security
KM Mikhailovich, MA Valerievna… - … Congress on Ultra …, 2020 - ieeexplore.ieee.org
Artificial intelligence is a technology that allows you to automate and optimize any process in
all areas of human life. Machine learning allows you to create irreplaceable and highly …
all areas of human life. Machine learning allows you to create irreplaceable and highly …
Research on reliability analysis of catenary model based on the fusion particle swarm least square support vector machine algorithm
H Zhang, X Chen, P Liu, D Zhao… - … of Information and …, 2023 - inderscienceonline.com
The reliability of contact network is always an important part of the reliability analysis of
traction power supply system. In this paper, combined with the failure rate data of the main …
traction power supply system. In this paper, combined with the failure rate data of the main …
Automotive Accident Severity Prediction Using Machine Learning
N Mohapatra, S Singh, B Kumar Mohanta… - Innovations in Computer …, 2021 - Springer
Prediction of the automotive accident severity plays a very crucial role in the smart
transportation system. The main motive behind our research is to find out the specific …
transportation system. The main motive behind our research is to find out the specific …