Results 11 to 20 of about 8,216,509 (304)
Robust Multimodal Failure Detection for Microservice Systems [PDF]
Knowledge Discovery and Data Mining, 2023 Proactive failure detection of instances is vitally essential to microservice systems because an instance failure can propagate to the whole system and degrade the system's performance.
Chenyu Zhao +12 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
Identification of engine damages of vintage vehicles with tribological examination [PDF]
FME Transactions, 2021 Nowadays, keeping vintage vehicles in operation is becoming more and more popular, however, the reparation of occurring engine malfunctions, and the supply of particulate engine parts mean severe expenses to the owners.
Papp Csenge, Kuti R.
doaj +1 more source
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
doaj +1 more source
FSNet: A Failure Detection Framework for Semantic Segmentation [PDF]
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 +3 more
semanticscholar +1 more source
Using Neural Network Approaches to Detect Mooring Line Failure
IEEE Access, 2021 The mooring systems give stability to the floating platforms against environmental conditions, stabilizing the platform with mooring lines attached to the seabed.
Amir Muhammed Saad +6 more
doaj +1 more source
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
IEEE Access, 2021 Educational remote laboratories allow users to access and control via the Internet remote equipment, that may be physically located anywhere in the world. They have a great potential for education, since they offer many advantages, such as cost reduction,
Aitor Villar-Martinez +3 more
doaj +1 more source
Wireless Communications and Mobile Computing, 2021 Quantum-enhanced machine learning plays a vital role in healthcare because of its robust application concerning current research scenarios, the growth of novel medical trials, patient information and record management, procurement of chronic disease ...
Yogesh Kumar +6 more
semanticscholar +1 more source