Results 1 to 10 of about 424,943 (312)

Unlabeled Sentinel 2 time series dataset (training, T30TYS): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

, 2023
Iris Dumeur, Silvia Valero, Jordi Inglada   +2 more
openalex   +1 more source

Unsupervised Scalable Representation Learning for Multivariate Time\n Series [PDF]

, 2019
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi   +2 more
openalex   +1 more source

Traffic Accident Prediction via Patch-Aware and Basis Representation in Time Series Modeling

Applied Sciences
Traffic accident prediction is of great importance for intelligent transportation systems and public safety management. Unlike conventional traffic flow forecasting tasks, accident data are characterized by low occurrence frequency and highly imbalanced ...
Peizhe Zhang, Qiang Xie
doaj   +1 more source

Unlabeled Sentinel 2 time series dataset (training, T31UEP): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

, 2023
Iris Dumeur, Silvia Valero, Jordi Inglada   +2 more
openalex   +1 more source

A representation learning-based time series label propagation for smart grid attack detection

Discover Data
The rising incidence of cyber attacks targeting smart grids underscores the urgent need for robust protection mechanisms. Most of the existing smart grid cyber attack detection schemes need correctly labeled data for training.
Smruti P. Dash, Kedar V. Khandeparkar
doaj   +1 more source

Implementation Strategies to Increase Clinical Trial Enrollment in a Community-Academic Partnership and Impact on Hispanic Representation: An Interrupted Time Series Analysis [PDF]

, 2022
Nahomy Ledesma Vicioso, Diana Lin, Daniel R. Gomez, Jonathan T. Yang, Nancy Y. Lee, Andreas Rimner, Yoshiya Yamada, Michael J. Zeléfsky, Noah S. Kalman, Charles E. Rutter, Rupesh Kotecha, Minesh P. Mehta, Joseph Panoff, Michael D. Chuong, Andrew Salner, Jamie S. Ostroff, Lisa C. Diamond, Noah J. Mathis, Oren Cahlon, David G. Pfister, Zhigang Zhang, Fumiko Chino, Jillian Tsai, Erin F. Gillespie   +23 more
openalex   +1 more source

WAVELETS WITH RIDGES: A HIGH-RESOLUTION REPRESENTATION OF CATACLYSMIC VARIABLE TIME SERIES [PDF]

, 2010
Claire Blackman
openalex   +1 more source

Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data [PDF]

, 2023
Chakka Sai Pradeep, Neelam Sinha
openalex   +1 more source

Pattern Representation of Gas Concentration Time Series Based on Piecewise Linear Method

Gong-kuang zidonghua, 2010
The paper indicated it not only has low efficiency of data mining to directly use original gas concentration time series to forecast short-term concentration,query similarity and classify and cluster time series,but also affects accuracy and reliability ...
XU Hui~, ZHANG Jian-ying~, CHEN Juan~, ZHAO Zhi-kai~   +3 more
doaj  

Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations

IEEE Access
Time series classification (TSC) has numerous applications across various domains. This research introduces a federated hybrid TSC method that combines image-based time series representation techniques with Convolutional Neural Networks (CNNs) in a ...
Felipe A. R. Silva, Omid Orang, Fabricio Javier Erazo-Costa, Petronio C. L. Silva, Pedro H. Barros, Ricardo P. M. Ferreira, Frederico Gadelha Guimaraes   +6 more
doaj   +1 more source