Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving

Z Huang, H Liu, J Wu, C Lv - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Making safe and human-like decisions is an essential capability of autonomous driving
systems, and learning-based behavior planning presents a promising pathway toward …

[HTML][HTML] A novel blockchain-based digital forensics framework for preserving evidence and enabling investigation in industrial Internet of Things

N **ao, Z Wang, X Sun, J Miao - Alexandria Engineering Journal, 2024 - Elsevier
To address challenges in digital evidence collection and responsibility determination for
industrial safety accidents involving industrial Internet of Things (IIoT) device nodes, this …

Risk and UCON-based access control model for healthcare big data

R Jiang, X Chen, Y Yu, Y Zhang, W Ding - Journal of Big Data, 2023 - Springer
The rapid development of healthcare big data has brought certain convenience to medical
research and health management, but privacy protection of healthcare big data is an issue …

Cost-sensitive GNN-based imbalanced learning for mobile social network fraud detection

X Hu, H Chen, H Chen, S Liu, X Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years, the increasing prevalence of mobile social network fraud has led to
significant distress and depletion of personal and social wealth, resulting in considerable …

Deep learning for financial time series prediction: A state-of-the-art review of standalone and hybrid models

W Chen, W Hussain, F Cauteruccio… - … -Computer Modeling in …, 2023 - opus.lib.uts.edu.au
Financial time series prediction, whether for classification or regression, has been a heated
research topic over the last decade. While traditional machine learning algorithms have …

An effective transformation-encoding-attention framework for multivariate time series anomaly detection in iot environment

R Zhang, J Chen, Y Song, W Shan, P Chen… - Mobile Networks and …, 2023 - Springer
The emergence of the Internet of Things (IoT) has realized the connection between objects
and the Internet, realized intelligent identification and management, and made the …

COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning

C Qin, C Fang, K Yao, X Chen, F Zhuang… - ACM Transactions on …, 2025 - dl.acm.org
Occupation-specific job tasks (OSTs) refer to the duties, responsibilities, and activities
associated with a particular occupation, which define the core functions and performance …

A meta reinforcement learning-based virtual machine placement algorithm in mobile edge computing

H Xu, C Jian - Cluster Computing, 2024 - Springer
Mobile edge computing requires more and more high-performance servers, resulting in
increased energy consumption. As an effective means to reduce energy consumption, virtual …

Virtual machine migration techniques for optimizing energy consumption in cloud data centers

Z Ma, D Ma, M Lv, Y Liu - IEEE Access, 2023 - ieeexplore.ieee.org
The energy used by cloud data centers (CDCs) to support large volumes of data storage and
computation is dramatically increasing as the scope of cloud services continues to expand …

A medical big data access control model based on smart contracts and risk in the blockchain environment

X Pu, R Jiang, Z Song, Z Liang, L Yang - Frontiers in Public Health, 2024 - frontiersin.org
The rapid development of the Hospital Information System has significantly enhanced the
convenience of medical research and the management of medical information. However, the …