Results 71 to 80 of about 336,769 (240)
Online Drift Compensation for Chemical Sensors Using Estimation Theory [PDF]
Sensor drift from slowly changing environmental conditions and other instabilities can greatly degrade a chemical sensor\u27s performance, resulting in poor identification and analyte quantification.
Josse, Fabien +3 more
core +1 more source
MiX: A Position Sensitive Dual-Phase Liquid Xenon Detector
The need for precise characterization of dual-phase xenon detectors has grown as the technology has matured into a state of high efficacy for rare event searches.
Haefner, J. +10 more
core +1 more source
The detection of different types of concept drift has wide applications in the fields of cloud computing and security information detection. Concept drift detection can indeed assist in promptly identifying instances where model performance deteriorates ...
Jing Chen +5 more
doaj +1 more source
We improve our filament automated detection method which was proposed in our previous works. It is then applied to process the full disk H$\alpha$ data mainly obtained by Big Bear Solar Observatory (BBSO) from 1988 to 2013, spanning nearly 3 solar cycles.
Cao, W., Chen, P. F., Fang, C., Hao, Q.
core +1 more source
Precise Change Point Detection using Spectral Drift Detection
The notion of concept drift refers to the phenomenon that the data generating distribution changes over time; as a consequence machine learning models may become inaccurate and need adjustment. In this paper we consider the problem of detecting those change points in unsupervised learning.
Hinder, Fabian +3 more
openaire +2 more sources
Variance Feedback Drift Detection Method for Evolving Data Streams Mining
Learning from changing data streams is one of the important tasks of data mining. The phenomenon of the underlying distribution of data streams changing over time is called concept drift. In classification decision-making, the occurrence of concept drift
Meng Han, Fanxing Meng, Chunpeng Li
doaj +1 more source
Sea ice drift detection has the key role of global climate analysis and waterway planning. The ability to detect sea ice drift in real-time also contributes to the safe navigation of ships and the prevention of offshore oil platform accidents.
Ming Zhang +5 more
doaj +1 more source
CModel: An Informer-Based Model for Robust Molecular Communication Signal Detection
Molecular communication signal detection faces numerous challenges, including complex environments, multi-source noise, and signal drift. Traditional methods rely on precise mathematical models, which are constrained by drift speed and signal-to-noise ...
Wenxin Zhao +4 more
doaj +1 more source
Teaching old sensors New tricks: archetypes of intelligence
In this paper a generic intelligent sensor software architecture is described which builds upon the basic requirements of related industry standards (IEEE 1451 and SEVA BS- 7986). It incorporates specific functionalities such as real-time fault detection,
Chorti, Arsenia +3 more
core
Concept Drift Detection from Multi-Class Imbalanced Data Streams [PDF]
Łukasz Korycki, Bartosz Krawczyk
openalex +1 more source

