Results 41 to 50 of about 8,216,509 (304)
Energies, 2018 This article offers reasons to defend the use of generic behavior models as opposed to specific models in applications to determine component degradation.
Miguel A. Rodríguez-López +3 more
doaj +1 more source
Spatial-Temporal Aware Long-Term Object Tracking
IEEE Access, 2020 Most existing trackers perform well in the occurrence of short-term occlusions and appearance and illumination variations, but struggle with the challenges of long-term tracking which include heavy or long-term occlusions, and out-of-view objects.
Wei Zhang, Baosheng Kang, Shunli Zhang
doaj +1 more source
Anomaly Detection and Failure Root Cause Analysis in (Micro) Service-Based Cloud Applications: A Survey [PDF]
ACM Computing Surveys, 2021 The proliferation of services and service interactions within microservices and cloud-native applications, makes it harder to detect failures and to identify their possible root causes, which is, on the other hand crucial to promptly recover and fix ...
J. Soldani, Antonio Brogi
semanticscholar +1 more source
Link Quality Estimation for Wireless ANDON Towers Based on Deep Learning Models
Sensors, 2022 Data reliability is of paramount importance for decision-making processes in the industry, and for this, having quality links for wireless sensor networks plays a vital role.
Teth Azrael Cortes-Aguilar +2 more
doaj +1 more source
Detection of Material Extrusion In-Process Failures via Deep Learning
Inventions, 2020 Additive manufacturing (AM) is evolving rapidly and this trend is creating a number of growth opportunities for several industries. Recent studies on AM have focused mainly on developing new machines and materials, with only a limited number of studies ...
Zhicheng Zhang +2 more
doaj +1 more source
Revisiting Failure Detection and Consensus in Omission Failure Environments [PDF]
, 2005 It has recently been shown that fair exchange, a security problem in distributed systems, can be reduced to a fault tolerance problem, namely a special form of distributed consensus. The reduction uses the concept of security modules which reduce the type and nature of adversarial behavior to two standard fault-assumptions: message omission and process
Delporte-Gallet, Carole +2 more
openaire +3 more sources
Image-based failure detection for material extrusion process using a convolutional neural network
The International Journal of Advanced Manufacturing Technology, 2020 The material extrusion (ME) process is one of the most widely used 3D printing processes, especially considering its use of inexpensive materials. However, the error known as the “spaghetti-shape error,” related to filament tangling, is a common problem ...
Hyungjung Kim +3 more
semanticscholar +1 more source
Speedy Routing Recovery Protocol for Large Failure Tolerance in Wireless Sensor Networks
Sensors, 2010 Wireless sensor networks are expected to play an increasingly important role in data collection in hazardous areas. However, the physical fragility of a sensor node makes reliable routing in hazardous areas a challenging problem.
Joa-Hyoung Lee, In-Bum Jung
doaj +1 more source
Journal of Telecommunications and Information Technology, 2023 A method of failure detection in telecommunication networks is presented. This is a meta-method that correlates alarms raised by failure-detection modules based on various philosophies. The correlation takes into account two main characteristics of each
Paweł Białoń
doaj +1 more source
Open-Environment Evidential Learning for Reliable Myoelectric Locomotion Prediction
IEEE Transactions on Neural Systems and Rehabilitation EngineeringAccurate locomotion prediction in dynamic environments is crucial for lower-limb exoskeletons to provide walking assistance. Surface electromyography (sEMG)-based deep learning models demonstrate great potential for decoding user intent, yet most ...
Yuzhou Lin +4 more
doaj +1 more source