Improved fault classification for predictive maintenance in industrial IoT based on AutoML: A case study of ball-bearing faults

RH Hadi, HN Hady, AM Hasan, A Al-Jodah… - Processes, 2023 - mdpi.com
The growing complexity of data derived from Industrial Internet of Things (IIoT) systems
presents substantial challenges for traditional machine-learning techniques, which struggle …

Enhancing Intrusion Detection in Wireless Sensor Networks through Machine Learning Techniques and Context Awareness Integration

O Ahmed - International Journal of Mathematics, Statistics, and …, 2024 - ijmscs.org
Wireless sensor networks (WSNs) play an imperative role in the communication among
independently implemented wired, localized, or mobile sensors in a cyber-physical system …

Stochastic gradient descent intrusions detection for wireless sensor network attack detection system using machine learning

HM Saleh, H Marouane, A Fakhfakh - IEEE Access, 2024 - ieeexplore.ieee.org
Communication in cyber-physical systems relies heavily on Wireless Sensor Networks
(WSNs), which have numerous uses including ambient monitoring, object recognition, and …

[PDF][PDF] Detecting abnormal driving behavior using modified DenseNet

A Ayad, ME Abdulmunim - Iraqi Journal for Computer Science and …, 2023 - iasj.net
Car accidents have serious consequences, including depletion of resources, harm to human
health and well-being, and social problems. The three primary factors contributing to car …

[PDF][PDF] An Improved Intrusion Detection System Using Machine Learning with Singular Value Decomposition and Principal Component Analysis.

RA Al Hasan, EK Hamza - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Among the most crucial components of a cyber physical system is a network of nodes via
which a large number of autonomous, mobile or stationary sensors can communicate with …

[PDF][PDF] Convolutional neural network (cnn) model to mobile remote surveillance system for home security

R Ayad, FQ Al-Khalidi - … Journal of Computing and Digital Systems, 2023 - academia.edu
Every citizen wants to eliminate any potential threat to themselves or their belongings. A
proper and modern surveillance system is necessary given the enormous increase in the …

[PDF][PDF] CNN-PS: Electroencephalogram Classification of Brain States Using Hybrid Machine-Deep Learning Approach

OA Saltykova - Iraqi Journal For Computer Science and Mathematics, 2023 - iasj.net
Electroencephalography (EEG) has been used for quite some time as a diagnostic
technique in neurology. The goal of this publication is to serve as a resource for researchers …

[PDF][PDF] Utilizing Machine Learning and Computer Vision for the Detection of Abusive Behavior in IoT Systems.

SZ Khalaf, MI Shujaa, ABA Alwahhab - International Journal of Intelligent …, 2023 - inass.org
Law enforcement and civilian protection are increasingly dependent on surveillance
technologies. To prevent social, economic, and environmental harm, video surveillance …

Anomaly Detection in Wireless Sensor Networks Using Machine Learning

HM Saleh, H Marouane… - 2023 16th International …, 2023 - ieeexplore.ieee.org
The security-enhanced information systems are of fundamental exigency for modern
connected entities in the modern day, owing to its rapidly evolving digital world and more …

A Novel CNN Model with Dimensionality Reduction for WSN Intrusion Detection.

RA Alhasan, EK Hamza - Revue d'Intelligence Artificielle, 2023 - search.ebscohost.com
Wireless sensor networks (WSNs) play a critical role in cyber-physical systems, enabling
communication between autonomous sensors. When integrated with the Internet of Things …