Results 101 to 110 of about 26,646,267 (236)

A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities. [PDF]

Comput Intell Neurosci, 2022
Wu J, Sun L, Peng D, Siuly S.
europepmc   +1 more source

Information models of agricultural objects

Сельскохозяйственные машины и технологии, 2016
The role of information technologies as interindustry direction of science is presented. The hypothesis of possibility of their uniform information description on the basis of the law on substance circulation in the nature and dialectic interrelation of ...
V. V. Alt, S. N. Olshevsky
doaj  

Implementation and Uptake of the Massachusetts Drug Supply Data Stream: A Statewide Public Health-Public Safety Partnership Drug Checking Program. [PDF]

J Public Health Manag Pract, 2022
Green TC, Olson R, Jarczyk C, Erowid E, Erowid F, Thyssen S, Wightman R, Del Pozo B, Michelson L, Consigli A, Reilly B, Ruiz S.   +11 more
europepmc   +1 more source

Online Learning for Foot Contact Detection of Legged Robot Based on Data Stream Clustering. [PDF]

Front Bioeng Biotechnol, 2021
Liu Q, Yuan B, Wang Y.
europepmc   +1 more source

Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later

IEEE Access
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time.
Osama A. Mahdi, Nawfal Ali, Eric Pardede, Ammar Alazab, Tahsien Al-Quraishi, Bhagwan Das   +5 more
doaj   +1 more source

Mobile data stream mining: from algorithms to applications [PDF]

, 2012
Gaber, M., Gama, J., Krishnaswamy, S.
core   +1 more source

Adaptive random forests for evolving data stream classification

Machine-mediated learning, 2017
Heitor Murilo Gomes, A. Bifet, J. Read, J. P. Barddal, F. Enembreck, Bernhard Pfahringer, G. Holmes, T. Abdessalem   +7 more
semanticscholar   +1 more source

Improving the Performance of the Feature Drift Detector by Lasso Observation of Sample Feature Fluctuations

International Journal of Applied Mathematics and Computer Science
Feature drift is a subtype of data distribution drift that occurs when the statistical significance of input features changes over time, despite the overall decision boundary remaining stable.
Porwik Piotr, Orczyk Tomasz, Japkowicz Nathalie   +2 more
doaj   +1 more source

Variance Feedback Drift Detection Method for Evolving Data Streams Mining

Applied Sciences
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

Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts. [PDF]

Sensors (Basel), 2021
Nandi A, Xhafa F, Subirats L, Fort S.
europepmc   +1 more source