Results 231 to 240 of about 8,475,956 (306)

A GAN Based Soft Failure Detection and Identification Framework for Long-Haul Coherent Optical Communication Systems

Journal of Lightwave Technology, 2023
The rapid progress of 5G, the internet of things (IoT), high-definition online video, and cloud computing have raised high requirements for the capacity of optical networks.
H. Lun, Mengfan Fu, Yihao Zhang, Hexun Jiang, L. Yi, Weisheng Hu, Q. Zhuge   +6 more
semanticscholar   +1 more source

Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach

IEEE Transactions on Instrumentation and Measurement, 2021
Gearbox failure is one of top-ranked factors leading to the unavailability of wind turbines (WTs). Existing data-driven studies of gearbox failure detection (GFD) focus on improving detection accuracies while reducing false alarms has not received ...
Luoxiao Yang, Zijun Zhang
semanticscholar   +1 more source

FSNet: A Failure Detection Framework for Semantic Segmentation

IEEE Robotics and Automation Letters, 2021
Semantic segmentation is an important task that helps autonomous vehicles understand their surroundings and navigate safely. However, during deployment, even the most mature segmentation models are vulnerable to various external factors that can degrade ...
Q. Rahman, Niko Sunderhauf, Peter Corke, Feras Dayoub   +3 more
semanticscholar   +1 more source

Detecting registration failure

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009
This paper presents a new approach to evaluation of registration using a general discriminative learning model that is independent of the type of registration method. We select features by association of a registration with a set of metrics (pixel based, patch based and histogram based statistics) and learn a classifier that discriminates mis ...
Sharmishtaa Seshamani, Rajesh Kumar 0001, Purnima Rajan, Srdan Bejakovic, Gerard Mullin, Themos Dassopoulos, Gregory D. Hager   +6 more
openaire   +1 more source

SAFE: Multitask Failure Detection for Vision-Language-Action Models

Neural Information Processing Systems
While vision-language-action models (VLAs) have shown promising robotic behaviors across a diverse set of manipulation tasks, they achieve limited success rates when deployed on novel tasks out of the box.
Qiao Gu, Yuanliang Ju, Shengxiang Sun, Igor Gilitschenski, Haruki Nishimura, Masha Itkina, Florian Shkurti   +6 more
semanticscholar   +1 more source

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Robotics
Recent years have witnessed impressive robotic manipulation systems driven by advances in imitation learning and generative modeling, such as diffusion- and flow-based approaches.
Chen Xu, Tony Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Miller, Robert Lee, Paarth Shah, Rares Ambrus, Haruki Nishimura, Masha Itkina   +9 more
semanticscholar   +1 more source

Runtime failure detection

Companion Proceedings of the 30th International Conference on Software Engineering, 2008
We propose a model-driven methodology to generate and automatically deploy runtime failure detectors that enable self-healing software to deal with functional failures. The methodology rests on addressing key research challenges: (1) Identifying classes of properties specified in end-user requirements, which can be associated with typical integration ...
openaire   +1 more source

Secure Failure Detection in TrustedPals

2007
This paper presents a modular redesign of TrustedPals, a smartcard-based security framework for solving secure multiparty computation (SMC). TrustedPals allows to reduce SMC to the problem of fault-tolerant consensus between smartcards. Within the redesign we investigate the problem of solving consensus in a general omission failure model augmented ...
Roberto Cortiñas, Felix C. Freiling, Marjan Ghajar-Azadanlou, Alberto Lafuente, Mikel Larrea, Lucia Draque Penso, Iratxe Soraluze Arriola   +6 more
openaire   +2 more sources

LDP failure detection and recovery

IEEE Communications Magazine, 2004
In the last few years, multiprotocol label switching has been successfully, deployed by the majority of service providers worldwide. The label distribution protocol is used in many MPLS networks for distributing labels to establish the label switched paths.
Luyuan Fang, Alia Atlas, Fabio M. Chiussi, Kireeti Kompella, George Swallow   +4 more
openaire   +1 more source