An approach for semi-supervised machine learning-based mobile network anomaly detection with tagging

Artificial intelligence enabled web-based prediction of diabetes using machine learning approach

C Pankaj, KV Singh, KR Singh - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Healthcare is the preservation of health that includes diagnosis, surgery, therapy, cure and
other related to health of the people. With the advancement of technology, healthcare is …
被引用次数：7 相关文章

Improved energy lifetime of integrated LEACH protocol for wireless sensor network

C Pankaj, GN Sharma, KR Singh - … International Conference on …, 2021 - ieeexplore.ieee.org
Wireless Sensor network (WSN) is widely used in many applications such as Defense,
Agriculture, Road Transport and Highways, Healthcare, Shopping Malls. The usage of IoT …
被引用次数：6 相关文章

5G wireless network-based cybersecurity analysis using software defined Phy_HetNets and Boltzmann encoder convolutional basis neural network

M Parasuraman, AK Munnangi, S Rajeyyagari… - International Conference …, 2023 - Springer
Abstract Machine learning [ML] is becoming more effective in the field of cybersecurity. The
main objective of applying ML in cybersecurity is to make malware detection more …
被引用次数：3 相关文章 所有 3 个版本

Deep machine learning based Usage Pattern and Application classifier in Network Traffic for Anomaly Detection

VK BP, SM Kusuma, LV Pallavi - … International Conference on …, 2023 - ieeexplore.ieee.org
In recent years, the widespread use of the internet across various sectors has led to an
increase in network traffic and a rise in the complexity of traffic analysis. There are a number …
被引用次数：2 相关文章