Results 131 to 140 of about 161,068 (368)

FAPAD: a federated aggregation optimization-based privacy-preserving anomaly detection framework for time series

Cybersecurity
Anomaly detection in multivariate time series is critical for system status monitoring, particularly in healthcare surveillance. However, centralized anomaly detection in cloud-edge collaborative environments may raise privacy concerns.
Kejun Zhang, Xinying Yu, Jun Wang, Wenbin Wang, Meijiao Li, Yucheng Yan, Ying Zhang   +6 more
doaj   +1 more source

Anomaly detection of multivariate time series for industrial machinery [PDF]

openIn industrial contexts, anomaly detection is crucial for identifying deviations from normal operating conditions, ensuring proactive maintenance, minimising downtime, and optimising the reliability and efficiency of industrial processes.
BEE, NICOLA
core  

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection

IEEE Access
Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical.
Firas Zoghlami, Dena Bazazian, Giovanni L. Masala, Mario Gianni, Asiya Khan   +4 more
doaj   +1 more source

Balancing Cost and Accuracy in Cyber-anomaly Detection

, 2023
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Douglas McGeehan, USDOE National Nuclear Security Administration (NNSA), Lekha Patel   +3 more
openalex   +2 more sources

Interpretable Anomaly Detection for Automated Filling Systems through Machine Learning approaches [PDF]

, 2023
reservedIn the Industry 4.0 scenario, the rising adoption of new technologies such as Internet of Things (IoT), Artificial Intelligence and Big Data Computing is shaping the future of manufacturing and industrial automation.
BELLAN, RICCARDO
core  

Giant Magnetic Coercivity Driven by Spin‐Bag Ferromagnetism in Epitaxial Sr3YCo4O10+δ Films with Engineered 2D Oxygen Vacancy Ordering

Advanced Functional Materials, EarlyView.
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen, Roger Guzman, Xiaomin Jia, Jialu Wu, Xing Xu, Li Sun, Jinbo Pan, Shixuan Du, Myung‐Hwan Whangbo, Wu Zhou, Jing Ma, Ce‐wen Nan, Chonglin Chen   +12 more
wiley   +1 more source

Effect of Optical Illumination on Bubble Nanodomains

Advanced Functional Materials, EarlyView.
Stable surface‐confined nanoscale bubble domains are created and manipulated in PMN‐PT single crystals. Under above‐bandgap illumination, these bubble nanodomains remain unchanged. However, upon illumination cessation, they rapidly expand to switch the entire crystal surface, due to the accumulation of a large reservoir of electrons at the crystal ...
Haoze Zhang, Anju Ahlawat, Richard F. Webster, Yunlong Sun, Dinesh Shukla, Danyang Wang, Jan Seidel, Alexei Gruverman, Pankaj Sharma   +8 more
wiley   +1 more source

Increasing resilience of ATM networks using traffic monitoring and automated anomaly analysis [PDF]

, 2012
Systematic network monitoring can be the cornerstone for the dependable operation of safety-critical distributed systems. In this paper, we present our vision for informed anomaly detection through network monitoring and resilience measurements to ...
Johnson, Christopher W., Pezaros, Dimitrios P., White, Kyel .J.S.   +2 more
core  

Ultrawide Bandwidth Optomechanical Magnetometry Using Flux Concentration

Advanced Functional Materials, EarlyView.
High‐permeability flux concentrators enable ultrawide‐bandwidth chip‐scale optomechanical magnetometry by exploiting magnetic nonlinearity to up‐convert low‐frequency fields to the mechanical resonance, where sensitivity is optimal. This enables flat wideband operation over more than four orders of magnitude, from tens of kilohertz to sub‐hertz ...
Benjamin J. Carey, Nathaniel Bawden, Fernando Gottardo, James S. Bennett, Douglas Bulla, Scott Foster, Warwick P. Bowen   +6 more
wiley   +1 more source