Results 21 to 30 of about 8,475,956 (306)
A failure detection method of remote disaster recovery and backup system [PDF]
ITM Web of Conferences, 2022 Failure detection is one of the basic functions of building a reliable disaster recovery backup system. Aiming at the application-level disaster recovery backup failure detection problem, this paper analyzes the remote disaster recovery center ...
Liang Min, Gao Fei, Shi Min
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Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective [PDF]
IEEE International Conference on Robotics and Automation, 2023 Motion prediction is essential for safe and efficient autonomous driving. However, the inexplicability and uncertainty of complex artificial intelligence models may lead to unpredictable failures of the motion prediction module, which may mislead the ...
Wenbo Shao +4 more
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A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification [PDF]
International Conference on Learning Representations, 2022 Reliable application of machine learning-based decision systems in the wild is one of the major challenges currently investigated by the field. A large portion of established approaches aims to detect erroneous predictions by means of assigning ...
P. Jaeger +3 more
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Materials Today Bio, 2023 In-situ renal tissue engineering is promising yet challenging for renal injury repair and regeneration due to the highly vascularized structure of renal tissue and complex high-oxidative stress and ischemic microenvironment. Herein, a novel biocompatible
Yuehang Zhang +9 more
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A Deep Learning-Based Approach to Failure Detection in Mooring (Thin) Lines from Marine Images
Engineering Proceedings, 2023 Mooring systems are incorporated from mooring (thin) lines that are constituted of fiber ropes, steel wires, and chains. Mooring systems are used for the stationary keeping of floating units during the drilling process of oil and gas from offshore deep ...
Tarwan Kumar Khatri +4 more
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Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT
IEEE Internet of Things Journal, 2021 Device failure detection is one of most essential problems in Industrial Internet of Things (IIoT). However, in conventional IIoT device failure detection, client devices need to upload raw data to the central server for model training, which might lead ...
Weishan Zhang +8 more
semanticscholar +1 more source
An Adaptive Kalman Filter-Based Condition-Monitoring Technique for Induction Motors
IEEE Access, 2023 Induction motors are typical rotating machines that are widely used in various industrial processes. The condition of induction motors has to be monitored to avoid serious losses, which can be caused by various reasons.
Jaehoon Kim +3 more
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IEEE Access, 2021 Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability of any element or connection results in downtime and triggers monetary and performance casualties.
Deepali Arun Bhanage +2 more
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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
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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
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