3.3k citations · 6k across the 65 of their papers we have counts for
15 papers · 1 filter
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan +2
With the growing need for real-time processing on IoT devices, optimizing machine learning (ML) models' size, latency, and computational efficiency is essential. This paper investi…
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks
Emanuel Figetakis, Yahuza Bello, Ahmed Refaey +1
Autonomous Vehicles (AVs), furnished with sensors capable of capturing essential vehicle dynamics such as speed, acceleration, and precise location, possess the capacity to execute…
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
Ibrahim Shaer, Soodeh Nikan, Abdallah Shami
The hyper-parameter optimization (HPO) process is imperative for finding the best-performing Convolutional Neural Networks (CNNs). The automation process of HPO is characterized by…
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Li Yang, Abdallah Shami
With the wide spread of sensors and smart devices in recent years, the data generation speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems, mas…
Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case
Ibrahim Shaer, Abdallah Shami
In this work, a multi-stage Machine Learning (ML) pipeline is proposed for pipe leakage detection in an industrial environment. As opposed to other industrial and urban environment…
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers +1
As a substantial amount of multivariate time series data is being produced by the complex systems in Smart Manufacturing, improved anomaly detection frameworks are needed to reduce…
Concept Drift Detection in Federated Networked Systems
Dimitrios Michael Manias, Ibrahim Shaer, Li Yang +1
As next-generation networks materialize, increasing levels of intelligence are required. Federated Learning has been identified as a key enabling technology of intelligent and dist…
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
Li Yang, Dimitrios Michael Manias, Abdallah Shami
As the number of Internet of Things (IoT) devices and systems have surged, IoT data analytics techniques have been developed to detect malicious cyber-attacks and secure IoT system…
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang, Abdallah Shami
In recent years, with the increasing popularity of "Smart Technology", the number of Internet of Things (IoT) devices and systems have surged significantly. Various IoT services an…
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
The emergence and continued reliance on the Internet and related technologies has resulted in the generation of large amounts of data that can be made available for analyses. Howev…
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach
Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami +1
Domain Name System (DNS) is a crucial component of current IP-based networks as it is the standard mechanism for name to IP resolution. However, due to its lack of data integrity a…
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman Aburakhia, Tareq Tayeh, Ryan Myers +1
Convolutional Neural Network (CNN) techniques have proven to be very useful in image-based anomaly detection applications. CNN can be used as deep features extractor where other an…
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif +2
Network attacks have been very prevalent as their rate is growing tremendously. Both organization and individuals are now concerned about their confidentiality, integrity and avail…
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang, Abdallah Shami
Machine learning algorithms have been used widely in various applications and areas. To fit a machine learning model into different problems, its hyper-parameters must be tuned. Se…
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Li Yang, Abdallah Moubayed, Ismail Hamieh +1
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) te…