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Online prediction algorithm for power data deviation extremes based on time series mining algorithm
Article
Article
Online prediction algorithm for power data deviation extremes based on time series mining algorithm
Guoyao Wu et al · Springer · 2026 · ISSN 2948-2992
Abstract The integration of large-scale distributed power sources complicates grid topology and intensifies spatiotemporal coupling in power data. This complicates the analysis of intrinsic correlations and makes predict...
LCC LCC:Electronic computers. Computer scienceIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
Article
Article
A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
Meltem Aksoy et al · Springer · 2026 · ISSN 1875-6883
Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...
LCC LCC:Electronic computers. Computer scienceIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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A multi-dimensional transformer encoder framework for modeling fine-grained student programming behavior
Article
Article
A multi-dimensional transformer encoder framework for modeling fine-grained student programming behavior
Grota Abdelkader et al · Springer · 2026 · ISSN 2948-2992
Abstract Learning to program is not just about writing code. It is a complex process involving trial and error, hesitation, corrections, and sometimes silence. And each student experiences it in their own way. Understand...
LCC LCC:Electronic computers. Computer scienceIdioma English
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Minería de datos :
Book
Book
Minería de datos :
Gironés Roig, Jordi · Editorial UOC · 2017 · ISBN 9788491169048
Subjects / keywords: Data mining; Computer science; Electronic books
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