Results 11 to 20 of about 793,861 (307)
Enhanced failure detection mechanism in MapReduce [PDF]
The popularity of MapReduce programming model has increased interest in the research community for its improvement. Among the other directions, the point of fault tolerance, concretely the failure detection issue seems to be a crucial one, but that until now has not reached its satisfying level.
Memishi, Bunjamin +2 more
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Chapter Early Detection and Reconstruction of Abnormal Data Using Hybrid VAE-LSTM Framework [PDF]
Early failure detection and abnormal data reconstruction in sensor data provided by building ventilation control systems are critical for public health.
Kwok, Helen H.L. +3 more
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Spatial-Temporal Aware Long-Term Object Tracking
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
Link Quality Estimation for Wireless ANDON Towers Based on Deep Learning Models
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
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
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Identification of engine damages of vintage vehicles with tribological examination [PDF]
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
Using Neural Network Approaches to Detect Mooring Line Failure
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
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
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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
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Detecting a Network Failure [PDF]
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.
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