In-process quality improvement: Concepts, methodologies, and applications

J Shi - IISE transactions, 2023 - Taylor & Francis
This article presents the concepts, methodologies, and applications of In-Process Quality
Improvement (IPQI) in complex manufacturing systems. As opposed to traditional quality …

Blockchain-Assisted Reputation Mechanism for Distributed Cloud Storage

Q Dong, J Tang, S Dang, G Chen… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Distributed cloud storage (DCS) has been undergoing fast development to provide
customers with multiple storage resources in a mix of locations and environments that best …

Reliability evaluation of repairable systems considering component heterogeneity using frailty model

B Brown, B Liu, S McIntyre… - Proceedings of the …, 2023 - journals.sagepub.com
The failure processes of heterogeneous repairable systems with minimal repair assumption
can be modelled by nonhomogeneous Poisson processes. One approach to describe an …

Heterogeneous multi-task Gaussian Cox processes

F Zhou, Q Kong, Z Deng, F He, P Cui, J Zhu - Machine Learning, 2023 - Springer
This paper presents a novel extension of multi-task Gaussian Cox processes for modeling
multiple heterogeneous correlated tasks jointly, eg, classification and regression, via multi …

Early Failure Point Monitoring for Remaining Useful Life Estimation of Bearings Using Covariance Transfer Enabled T2 Control Chart

X Wu, H Wang, L Zhang, L Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
T2 control chart, a prevalent statistical process control technique, has extensively employed
in the realm of bearing early failure monitoring within the setting of prognostics and health …

Mixed-input Bayesian optimization method for structural damage diagnosis

C Huang, J Lee, Y Zhang, S Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Structural health monitoring (SHM) is of significant importance in the operation of
engineering systems to ensure the durability and reliability. In this article, we introduce a …

A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas

JV Benzin, S Rinderle-Ma - arXiv preprint arXiv:2302.04018, 2023 - arxiv.org
Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression

J Lyu, Y Zhang, X Lu, F Zhou - arXiv preprint arXiv:2412.10897, 2024 - arxiv.org
This work addresses a key limitation in current federated learning approaches, which
predominantly focus on homogeneous tasks, neglecting the task diversity on local devices …

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes

J Gao, S Chung - arXiv preprint arXiv:2407.16935, 2024 - arxiv.org
This paper explores a federated learning approach that automatically selects the number of
latent processes in multi-output Gaussian processes (MGPs). The MGP has seen great …

Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes

SN Van, HN Xuan - arXiv preprint arXiv:2402.12808, 2024 - arxiv.org
The Poisson process, especially the nonhomogeneous Poisson process (NHPP), is an
essentially important counting process with numerous real-world applications. Up to date …