Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions
The growing number of cars on city roads has led to an increase in traffic accidents,
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …
highlighting the need for traffic safety measures. Mobile trajectory anomaly detection is an …
Anomaly diagnosis of connected autonomous vehicles: A survey
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …
transportation due to their potential to improve transportation performance in many ways …
A novel planetary gearbox fault diagnosis method for nuclear circulating water pump with class imbalance and data distribution shift
W Cheng, S Wang, Y Liu, X Chen, Z Nie… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Deep learning (DL) has demonstrated splendid performance in fault diagnosis with sufficient
samples and ideal operating environments. However, in practice, it is hard to acquire …
samples and ideal operating environments. However, in practice, it is hard to acquire …
DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection
Vehicle trajectory anomaly detection plays an essential role in the fields of traffic video
surveillance, autonomous driving navigation, and taxi fraud detection. Deep generative …
surveillance, autonomous driving navigation, and taxi fraud detection. Deep generative …
An Intelligent Obstacle Detection for Autonomous Mining Transportation With Electric Locomotive via Cellular Vehicle-to-Everything and Vehicular Edge Computing
The tremendous revolutionary progress of cellular vehicle-to-everything (C-V2X) and
vehicular edge computing (VEC) technologies provide new opportunities to overcome the …
vehicular edge computing (VEC) technologies provide new opportunities to overcome the …
Contrasting Estimation of Pattern Prototypes for Anomaly Detection in Urban Crowd Flow
Y Wang, X Luo, Z Zhou - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Crowd flow anomaly detection (CFAD) plays a vital role in ensuring public safety due to its
capability to distinguish abnormal crowd movement behaviors from the norm. However, the …
capability to distinguish abnormal crowd movement behaviors from the norm. However, the …
Feature cloning and feature Fusion Based Transportation Mode Detection using convolutional neural network
The smartphone-based sensors (including accelerometer, proximity, and gyroscope
sensors) are ubiquitous and emerging mobility data sources that could be used for …
sensors) are ubiquitous and emerging mobility data sources that could be used for …
Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic …
M Qiu, S Mao, J Zhu, Y Yang - Accident Analysis & Prevention, 2025 - Elsevier
With the continuous development of intelligent transportation systems, traffic safety has
become a major societal concern, and vehicle trajectory anomaly detection technology has …
become a major societal concern, and vehicle trajectory anomaly detection technology has …
Unintended Data Behaviour Analysis Using Cryptography Stealth Approach Against Security and Communication Network
M Alauthman, H Aljuaid, P Sathyaprakash… - Mobile Networks and …, 2023 - Springer
Data security is based on the collection of data and storage without hacking from a third
person has been proposed. While transmitting the data, the attack of the data from the …
person has been proposed. While transmitting the data, the attack of the data from the …