Zobrazeno 1 - 10
of 3 012
pro vyhledávání: '"TIME SERIES CLASSIFICATION"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 264-280 (2024)
Alzheimer’s Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer’s Disease, with changes detectabl
Externí odkaz:
https://doaj.org/article/edb2560dcd0846698e75ab817bc8e357
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Time series classification finds widespread applications in civil, industrial, and military fields, while the classification performance of time series models has been improving with the recent development of deep learning. However, the issu
Externí odkaz:
https://doaj.org/article/a6c52420a31f4c208905d0a6e98b871e
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract The classification of multidimensional time series holds significant importance across various domains, including action classification, medical diagnosis, and credit assessment. Within multidimensional time series data, features pertinent t
Externí odkaz:
https://doaj.org/article/c54b7b5325fe474cb11f4ad671ec2a44
Autor:
Krisztina Buza, Erik Novak
Publikováno v:
Acta Universitatis Sapientiae: Informatica, Vol 16, Iss 1, Pp 1-19 (2024)
Due to sensor failures and other issues, real-world time series may contain missing values, often in consecutive segments. Classification of such time series is an important task with prominent applications in various domains such as medicine, man
Externí odkaz:
https://doaj.org/article/ffc509a3278245b59404909ff838120a
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1969-1996 (2024)
Standard ML relies on ample data, but limited availability poses challenges. Transfer learning offers a solution by leveraging pre-existing knowledge. Yet many methods require access to the model’s internal aspects, limiting applicability to white
Externí odkaz:
https://doaj.org/article/b2295baaa64047558cc4e747bc277129
Autor:
Abhidnya Patharkar, Jiajing Huang, Teresa Wu, Erica Forzani, Leslie Thomas, Marylaura Lind, Naomi Gades
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Most current algorithms for multivariate time series classification tend to overlook the correlations between time series of different variables. In this research, we propose a framework that leverages Eigen-entropy along with a cumulative m
Externí odkaz:
https://doaj.org/article/3ab533fc6a494db5b12d44d5ce6d7330
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThe building age is an important feature in the vulnerability assessment of disasters and building energy consumption modeling. It provides indispensable information for the study of built environment. However, obtaining high-precision maps o
Externí odkaz:
https://doaj.org/article/ee50553863b04ffdaba3042e56c19641
Publikováno v:
IEEE Access, Vol 12, Pp 170387-170398 (2024)
Time series classification requires specialized models that can effectively capture temporal structures. Consequently, Large Language Models (LLMs) have emerged as promising candidates due to their proficiency in sequence modeling and semantic reason
Externí odkaz:
https://doaj.org/article/6917f00b36ab44d0b0775ec9fa2693a6
Autor:
Andjela D. Djordjevic, Miroslav B. Milovanovic, Marko T. Milojkovic, Jelena G. Petrovic, Sasa S. Nikolic
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 3, Pp 4-14 (2024)
This paper presents a novel method for detecting and classifying faults in dynamic control systems empowered with DC motors, operating under laboratory conditions. The approach employs a convolutional neural network model enhanced with an artificial
Externí odkaz:
https://doaj.org/article/c9b82af7f3a44c92a87cd4bdbb5afe54
Publikováno v:
Stats, Vol 7, Iss 2, Pp 402-433 (2024)
Due to spectacular gains during periods of rapid price increase and unpredictably large drops, Bitcoin has become a popular emergent asset class over the past few years. In this paper, we are interested in predicting the crashes of Bitcoin market. To
Externí odkaz:
https://doaj.org/article/168b4e497d0442efa87c9b2eb059d8ef