A Systematic Literature Review of Security in 5G based Social Networks
With increase in the use of social networks, we also need the increase in the security of
those networks. Making the connection secure is critical and the priority now a day so that …
those networks. Making the connection secure is critical and the priority now a day so that …
Data Fusion-based machine learning architecture for intrusion detection
TM Ghazal - Computers, Materials & Continua, 2022 - research.skylineuniversity.ac.ae
In recent years, the infrastructure of Wireless Internet of Sensor Networks (WIoSNs) has
been more complicated owing to developments in the internet and devices' connectivity. To …
been more complicated owing to developments in the internet and devices' connectivity. To …
Fuzzy‐Based Fusion Model for β‐Thalassemia Carriers Prediction Using Machine Learning Technique
The abnormality of haemoglobin in the human body is the fundamental cause of
thalassemia disease. Thalassemia is considered a common genetic blood condition that has …
thalassemia disease. Thalassemia is considered a common genetic blood condition that has …
Analysis Of Cost Prediction In Medical Insurance Using Modern Regression Models
There are different kinds of insurances, but the most saturated is the medical (life) insurance
domain. As a vast population invests in health insurance, it is hard to keep track of trends …
domain. As a vast population invests in health insurance, it is hard to keep track of trends …
Cloud‐Based Breast Cancer Prediction Empowered with Soft Computing Approaches
The develo** countries are still starving for the betterment of health sector. The disease
commonly found among the women is breast cancer, and past researches have proven …
commonly found among the women is breast cancer, and past researches have proven …
[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.
Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …
that the integration may result into the enhancement or depression of incoming signals. It is …
Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine
A smart city is a sustainable and effective metropolitan hub, that offers its residents high
excellence of life through appropriate resource management. Energy management is …
excellence of life through appropriate resource management. Energy management is …
[HTML][HTML] Smart occupancy detection for road traffic parking using deep extreme learning machine
Predicting the location of parking is a long-lasting problem that has ultimate importance in
our daily life. In this paper, artificial neural networks are used to predict the parking location …
our daily life. In this paper, artificial neural networks are used to predict the parking location …
Modelling, simulation and optimization of diagnosis cardiovascular disease using computational intelligence approaches
Background: To provide ease to diagnose that serious sickness multi-technique model is
proposed. Data Analytics and Machine intelligence are involved in the detection of various …
proposed. Data Analytics and Machine intelligence are involved in the detection of various …
Neurological Disorder Detection Using OCT Scan Image of Eye
Extracting useful features from medical images (in Radiology) helps to improve the early
precautions and treatment as well as reducing the risk of performing major surgeries. There …
precautions and treatment as well as reducing the risk of performing major surgeries. There …