Zobrazeno 1 - 10
of 653
pro vyhledávání: '"P. Siarry"'
Training deep models for time series forecasting is a critical task with an inherent challenge of time complexity. While current methods generally ensure linear time complexity, our observations on temporal redundancy show that high-level features ar
Externí odkaz:
http://arxiv.org/abs/2410.02438
Anomaly detection in time series data is a critical challenge across various domains. Traditional methods typically focus on identifying anomalies in immediate subsequent steps, often underestimating the significance of temporal dynamics such as dela
Externí odkaz:
http://arxiv.org/abs/2408.04377
Forecasting multivariate time series is a computationally intensive task challenged by extreme or redundant samples. Recent resampling methods aim to increase training efficiency by reweighting samples based on their running losses. However, these me
Externí odkaz:
http://arxiv.org/abs/2406.13871
Autor:
Wang, Baiyi, Zhang, Zipeng, Siarry, Patrick, Liu, Xinhua, Królczyk, Grzegorz, Hua, Dezheng, Brumercik, Frantisek, Li, Zhixiong
In order to alleviate the main shortcomings of the AVOA, a nonlinear African vulture optimization algorithm combining Henon chaotic mapping theory and reverse learning competition strategy (HWEAVOA) is proposed. Firstly, the Henon chaotic mapping the
Externí odkaz:
http://arxiv.org/abs/2403.15505
Time series forecasting task predicts future trends based on historical information. Transformer-based U-Net architectures, despite their success in medical image segmentation, have limitations in both expressiveness and computation efficiency in tim
Externí odkaz:
http://arxiv.org/abs/2401.01479
Autor:
Benyu Su, Haiping Yang, Grzegorz Królczyk, Quanwei Yang, Shengdong Liu, Patrick Siarry, Z. Li
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 279-294 (2024)
This work aims to remotely monitor the grouting process of double-layered wellbores in deep coal mining area by proposing a new geophysical electrical potential inversion imaging method. The proposed geophysical method is able to evaluate the groutin
Externí odkaz:
https://doaj.org/article/8d962dce4b034b7babf8539f631d42f7
Publikováno v:
IEEE Access, Vol 12, Pp 47091-47109 (2024)
Rare event detection (RED) involves the identification and detection of events characterized by low frequency of occurrences, but of high importance or impact. This paper presents a Systematic Review (SR) of rare event detection across various modali
Externí odkaz:
https://doaj.org/article/b5b38111d02f4052ac389d50e1bddef2
Autor:
Xinhua Liu, Peng Qi, Patrick Siarry, Dezheng Hua, Zhenjun Ma, Xiaoqiang Guo, Orest Kochan, Z. Li
Publikováno v:
Alexandria Engineering Journal, Vol 80, Iss , Pp 217-228 (2023)
Overstaffing production in underground coal mining is not convenient for daily management, and incomplete information of coal miners hinders the rescue process of firefighters during mine accidents. To address this safety sustainability issue, a nove
Externí odkaz:
https://doaj.org/article/79ef4f9864524589949355a3f6390c26
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2161 (2024)
This book collects under one cover twelve original research papers and one review paper submitted to the Special Issue “State-of-the-Art Mathematical Applications in Europe” and published in the MDPI journal Mathematics from December 2021 to Janu
Externí odkaz:
https://doaj.org/article/d15c17da395a4dc793c274bb6ba291c0
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/7745f7dab18f4afb81c3e5942dcf5ce8