[PDF][PDF] Modern drowsiness detection techniques: A review

SS Jasim, AKA Hassan - International Journal of Electrical and …, 2022 - academia.edu
According to recent statistics, drowsiness, rather than alcohol, is now responsible for one-
quarter of all automobile accidents. As a result, many monitoring systems have been created …

Sparse representation theory for support vector machine kernel function selection and its application in high-speed bearing fault diagnosis

B Wang, X Zhang, S Xing, C Sun, X Chen - ISA transactions, 2021 - Elsevier
This paper proposes a kernel function selection mechanism a support vector machine (SVM)
under sparse representation and its application in bearing fault diagnosis. For a given data …

Categorizing the students' activities for automated exam proctoring using proposed deep L2-GraftNet CNN network and ASO based feature selection approach

T Saba, A Rehman, NSM Jamail, SL Marie-Sainte… - IEEE …, 2021 - ieeexplore.ieee.org
Exam proctoring is a hectic task ie, the monitoring of students' activities becomes difficult for
supervisors in the examination rooms. It is a costly approach that requires much labor. Also …

[PDF][PDF] A systematic literature review of hausa natural language processing

RY Zakari, ZK Lawal, I Abdulmumin - International Journal of Computer …, 2021 - core.ac.uk
The processing of natural languages is an area of computer science that has gained
growing attention recently. NLP helps computers recognize, in other words, the ways in …

A real-time big data sentiment analysis for iraqi tweets using spark streaming

ND Zaki, NY Hashim, YM Mohialden… - Bulletin of Electrical …, 2020 - beei.org
The scale of data streaming in social networks, such as Twitter, is increasing exponentially.
Twitter is one of the most important and suitable big data sources for machine learning …

[PDF][PDF] COVID-19 knowledge-based system for diagnosis in Iraq using IoT environment

BM Nema, YM Mohialden… - Indonesian Journal …, 2021 - pdfs.semanticscholar.org
The importance and benefits of healthcare mobile applications is increasing rapidly,
especially when such applications are connected to the internet of things (IoT). This paper …

Context and machine learning based trust management framework for internet of vehicles

A Rehman, MF Hassan, YK Hooi… - Computers …, 2021 - researchportal.port.ac.uk
Trust is one of the core components of any ad hoc network security system. Trust
management (TM) has always been a challenging issue in a vehicular network. One such …

A new model for large dataset dimensionality reduction based on teaching learning-based optimization and logistic regression

HR Ibraheem, ZF Hussain, SM Ali… - TELKOMNIKA …, 2020 - telkomnika.uad.ac.id
One of the human diseases with a high rate of mortality each year is breast cancer (BC).
Among all the forms of cancer, BC is the commonest cause of death among women globally …

Fuzzy generalized Hebbian algorithm for large-scale intrusion detection system

AH Ali, M Aljanabi, MA Ahmed - International Journal of …, 2020 - publisher.uthm.edu.my
The huge number of irrelevant and redundant data used in building intrusion detection
systems (IDS) is one of the common issues in network intrusion detection systems. This …

[PDF][PDF] Performance evaluation of two models in the reactive routing protocol in manets

MJ Abbas, HMT Alhilfi, T Sutikno - Indonesian Journal of Electrical …, 2021 - academia.edu
Due to the need for the multicast connection required by multimedia applications such as
video conferencing and natural disaster management, it was necessary to use a set of …