Results 31 to 40 of about 451,636 (157)

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

Meitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN, Wusheng ZHAO, Haibin JIA, Weiji GAO, Yuchuan CHEN, Wanquan YU, Jizhong LIANG, Weizhong CHEN   +7 more
doaj   +1 more source

(Multiscale) Cross-Entropy Methods: A Review

Entropy, 2019
Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
doaj   +1 more source

Convergence and localization in Orlicz classes for multiple Walsh–Fourier series with a lacunary sequence of rectangular partial sums

Journal of Mathematical Analysis and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bloshanskaya, S. K., Bloshanskii, I. L.
openaire   +1 more source

New Optimized Adaptive Time Series IDS Classifier Algorithm: Beyond Deep Learning

IEEE Access, 2023
Adaptive time series Intrusion Detection System (IDS) Classifier is essential to detect real-time cyber-threats. Meanwhile, optimized hyperparameters on time series IDS classifier model will ensure swift detection. However, current studies on Time Series
Saiyed Rasol Bin Tuan Muda, Mohammad Hafiz Mohd Yusof, Khaled Mofawiz Alfawaz, Mohammed Balfaqih, Abdulrahman Alzahrani   +4 more
doaj   +1 more source

Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems

Mathematics
Degradation prediction for aerospace electronic systems plays a crucial role in maintenance work. This paper proposes a concise and efficient framework for multivariate time series forecasting that is capable of handling diverse sequence representations ...
Yuanhong Mao, Xin Hu, Yulang Xu, Yilin Zhang, Yunan Li, Zixiang Lu, Qiguang Miao   +6 more
doaj   +1 more source

The effects of promoter methylation on downregulation of DAZAP2 in multiple myeloma cell lines. [PDF]

PLoS ONE, 2012
Our previous studies had shown that DAZAP2 was profoundly downregulated in bone marrow mononuclear cells from multiple myeloma patients. In this report, we analyzed epigenetic changes in multiple myeloma cell lines to understand the molecular mechanisms ...
Sai-Qun Luo, Jing-Ping Hu, Qiang Qu, Jiang Li, Wei Ren, Jia-Ming Zhang, Yan Zhong, Wei-Xin Hu   +7 more
doaj   +1 more source

Management of panfacial and complex facial fractures: A Belgaum perspective – Case series

Indian Journal of Health Sciences and Biomedical Research KLEU, 2023
Multiple facial bone fractures usually are consequential to severe injuries secondary to motor vehicle calamities. These complex and panfacial fractures are usually associated with multiple systemic injuries that mandate a multidisciplinary approach to ...
Vijaylaxmi Shettar, Shridhar Damodar Baliga, Sanjay S Rao, Prashasti Sharma, Kritika Pandey   +4 more
doaj   +1 more source

Ultra-short-term and Short-term Power Load Single-step and Multi-step Prediction Considering Spatial Association [PDF]

Jisuanji gongcheng
Accurate ultra-short-term and short-term multi-region power load forecasting is the key to achieving rapid response and real-time scheduling in power systems.
GENG Zhenwei, LI Shenzhang, YU Fengrong
doaj   +1 more source

Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. [PDF]

PLoS Computational Biology, 2008
It is generally thought that skilled behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence patterns.
Yuichi Yamashita, Jun Tani
doaj   +1 more source

FAFTransformer: Multivariate time series prediction method based on multi‐period feature recombination

Electronics Letters
Multivariate time series forecasting is widely used in various fields in real life. Many time series prediction models have been proposed. The current forecasting model lacks the mining of correlation between sequences based on different periods and ...
WenChang Zhang, LuZhi Yuan, Yun Sha, LingLin Yang, XueJun Liu, Yong Yan   +5 more
doaj   +1 more source