Results 241 to 250 of about 60,311 (308)

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

A Hybrid Deep Autoencoders and Random Forest Framework for False Data Injection Attack Detection in Industrial Internet of Things Networks. [PDF]

Sensors (Basel)
Albarrak AM, Ghaleb FA, Qasem SN, Saeed F.   +3 more
europepmc   +1 more source

VAE‐Based SPC for Botnet Detection in IoT Systems

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño, Miguel Flores, Javier Tarrío‐Saavedra, Salvador Naya   +3 more
wiley   +1 more source

scZGA: a novel model based on ZINB distribution and graph attention for scRNA-seq data clustering. [PDF]

BMC Bioinformatics
Kan Y, Liu Y, Pan J, Wang R, Zhang CY, Zhou Z.   +5 more
europepmc   +1 more source

Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin, E. Javier Olucha, Amritam Das, Siep Weiland, Roland Tóth   +4 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints. [PDF]

Front Artif Intell
Mathew AT, Mani P.
europepmc   +1 more source

FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation

SmartBot, EarlyView.
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang, Hanyu Liu, Yunsheng Ma, Jian Shen, Yilin Zheng, Jiayi Wen, Zhigong Song   +6 more
wiley   +1 more source

Autoencoder-Based Detection of Nanoplastics in Biological Matrices via Infrared Hyperspectral Imaging. [PDF]

ACS Meas Sci Au
Prezgot D, Sakib S, Chen M, Pegoraro AF, Corriveau D, Zou S.   +5 more
europepmc   +1 more source