Results 31 to 40 of about 8,475,956 (306)
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
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
Photovoltaic System Health-State Architecture for Data-Driven Failure Detection
Solar, 2022 The timely detection of photovoltaic (PV) system failures is important for maintaining optimal performance and lifetime reliability. A main challenge remains the lack of a unified health-state architecture for the uninterrupted monitoring and predictive ...
Andreas Livera +5 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
IEEE Transactions on Instrumentation and Measurement, 2021 This article proposes a double-channel sequential probability ratio test (DCSPRT) failure detection algorithm for improving the fault-tolerant ability of the multisensor system.
Guangle Gao +3 more
semanticscholar +1 more source
Cause-aware failure detection using an interpretable XGBoost for optical networks.
Optics Express, 2021 Failure detection is an important part of failure management, and network operators encounter serious consequences when operating under failure conditions.
Chunyu Zhang +7 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
Energies, 2020 This paper proposes a three-phase metaheuristic-based approach for induction machine bearing failure detection and diagnosis. It consists of extracting and processing different failure types features to set up a knowledge base, which contains different ...
Charaf Eddine Khamoudj +4 more
doaj +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
Detecting a Network Failure [PDF]
Internet Mathematics, 2002 Summary: Measuring the properties of a large, unstructured network can be difficult: one may not have full knowledge of the network topology, and detailed global measurements may be infeasible. A valuable approach to such problems is to take measurements from selected locations within the network and then aggregate them to infer large-scale properties.
openaire +4 more sources