Integration of mixture of experts and multimodal generative ai in internet of vehicles: a survey

M Xu, D Niyato, J Kang, Z **ong, A Jamalipour… - arxiv preprint arxiv …, 2024 - arxiv.org
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

Multi-classification in-vehicle intrusion detection system using packet-and sequence-level characteristics from time-embedded transformer with autoencoder

TD Le, HBH Truong, D Kim - Knowledge-Based Systems, 2024 - Elsevier
In recent years, the increased application of controller area network (CAN) protocols has
made it the de facto standard for communication between electronic control units (ECUs) in …

AI-Based Anomaly Detection Techniques for Structural Fault Diagnosis Using Low-Sampling-Rate Vibration Data

Y Jung, EG Park, SH Jeong, JH Kim - Aerospace, 2024 - mdpi.com
Rotorcrafts experience severe vibrations during operation. To ensure the safety of
rotorcrafts, it is necessary to perform anomaly detection to detect small-scale structural faults …

[HTML][HTML] Cybersecurity of Automotive Wired Networking Systems: Evolution, Challenges, and Countermeasures

N Canino, P Dini, S Mazzetti, D Rossi, S Saponara… - Electronics, 2025 - mdpi.com
The evolution of Electrical and Electronic (E/E) architectures in the automotive industry has
been a significant factor in the transformation of vehicles from traditional mechanical …

fROS: A Generic Fieldbus Framework for ROS

D Schneider, L Kastner, B Schick… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the development of advanced driver assistance systems (ADAS) continues, more and
more software functions and sensors are being introduced to the market. This is …

[HTML][HTML] Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps

DY Kim, AB Kareem, D Domingo, BC Shin… - Journal of Sensor and …, 2024 - mdpi.com
This study presents an advanced data augmentation framework to enhance fault diagnostics
in industrial centrifugal pumps using vibration data. The proposed framework addresses the …

A Novel Light-Weight Machine Learning Classifier for Intrusion Detection in Controller Area Network in Smart Cars.

A Kousar, S Ahmed, A Altamimi… - Smart Cities (2624 …, 2024 - search.ebscohost.com
Highlights: What are the main findings? Development of a novel lightweight machine
learning classifier for anomaly detection in smart cars. Comparison with the baseline …

A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship

R Idrees, A Maiti, S Garg - Knowledge and Information Systems, 2024 - Springer
Abstract Internet-of-things (IoT) applications involve a large number of sensors reporting
data as a set of time series. Often these data are related to each other based on the …

Deep Learning-based Intelligent Algorithms for Effective Transmission Authentication and Anomaly Identification in Vehicular Networks

S Marappan, H Marappan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Vehicular networks enable effective traffic control and security on the roads. Sustaining
security and network performance depends on authentic transmission and anomaly …

Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks

IJ King, B Bowman, HH Huang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Electronic components in vehicles communicate with one another by broadcasting
messages over the controller area network (CAN) bus. The CAN message protocol is …