A Systematic Literature Review of Security in 5G based Social Networks

MT Alshurideh, BY Obeidat, V Victoria… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
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 …

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 …

Fuzzy‐Based Fusion Model for β‐Thalassemia Carriers Prediction Using Machine Learning Technique

M Ibrahim, S Abbas, A Fatima… - Advances in Fuzzy …, 2024 - Wiley Online Library
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 …

Analysis Of Cost Prediction In Medical Insurance Using Modern Regression Models

HM Alzoubi, N Sahawneh, AQ AlHamad… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
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 …

Cloud‐Based Breast Cancer Prediction Empowered with Soft Computing Approaches

F Khan, MA Khan, S Abbas, A Athar… - Journal of healthcare …, 2020 - Wiley Online Library
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 …

[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.

MA Khan, S Abbas, A Raza, F Khan… - Computers, Materials & …, 2022 - researchgate.net
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 …

Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine

S Abbas, MA Khan, LE Falcon-Morales… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Smart occupancy detection for road traffic parking using deep extreme learning machine

SY Siddiqui, MA Khan, S Abbas, F Khan - Journal of King Saud University …, 2022 - Elsevier
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 …

Modelling, simulation and optimization of diagnosis cardiovascular disease using computational intelligence approaches

SY Siddiqui, A Athar, MA Khan, S Abbas… - Journal of Medical …, 2020 - ingentaconnect.com
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 …

Neurological Disorder Detection Using OCT Scan Image of Eye

MA Aslam, M Zonain, S Muneer, O Sattar… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
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 …