Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
Diagnostics and prognostics for complex systems: A review of methods and challenges
Diagnostics and prognostics have a significant role in the reliability enhancement of systems
and are focused topics of active research. Engineered systems are becoming more complex …
and are focused topics of active research. Engineered systems are becoming more complex …
IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities
The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …
Real-time monitoring and control of industrial cyberphysical systems: With integrated plant-wide monitoring and control framework
This article is focused on the realtime monitoring and control aspects of ICPSs. Advanced
approaches and potential challenges are illustrated in the following sections. Especially, an …
approaches and potential challenges are illustrated in the following sections. Especially, an …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
Nonparametric bayesian framework for material and process optimization with nanocomposite fused filament fabrication
The convergence of polymer nanocomposite development and additive manufacturing
creates unprecedented opportunities for advancing novel materials design and product …
creates unprecedented opportunities for advancing novel materials design and product …
Machine learning augmented X-ray computed tomography features for volumetric defect classification in laser beam powder bed fusion
This study proposes a data-driven framework to augment low-resolution X-ray computed
tomography (LR-XCT) scanning with machine learning (ML) for efficient defect inspection …
tomography (LR-XCT) scanning with machine learning (ML) for efficient defect inspection …
FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems
As existing system calls-based Host Anomaly Detection Systems (HADSs) exclude hidden
patterns that can reside in the elapsed times of system calls with respect to the lifecycle of a …
patterns that can reside in the elapsed times of system calls with respect to the lifecycle of a …
Identifying unseen faults for smart buildings by incorporating expert knowledge with data
Thanks to the development of sensor networks and information technology, data-driven fault
detection and diagnosis (FDD) is getting more and more popular with rich data. In the …
detection and diagnosis (FDD) is getting more and more popular with rich data. In the …
A Gaussian process model-guided surface polishing process in additive manufacturing
Polishing of additively manufactured products is a multi-stage process, and a different
combination of polishing pad and process parameters is employed at each stage. Pad …
combination of polishing pad and process parameters is employed at each stage. Pad …