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Effect of age-related hyperkyphosis on open and closed-loop postural control in older adults. [PDF]

Sci Rep
Hosseinabadi M, Salehi R, Azadinia F, Ghandhari H, Jalali M.   +4 more
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Identification of the time-dependent source term in a multi-term time-fractional diffusion equation

Numerical Algorithms, 2019
The multi-term time-fractional diffusion equation is a useful tool in the modeling of complex systems. This paper aims to identifying a time-dependent source term in a multi-term time-fractional diffusion equation from the boundary Cauchy data. The regularity of the weak solution for the direct problem with homogeneous Neumann boundary condition is ...
Zhengqiang Zhang, Y. S. Li, Ting Wei, L. L. Sun   +3 more
openaire   +3 more sources

Mixture-of-Linear-Experts for Long-term Time Series Forecasting

International Conference on Artificial Intelligence and Statistics, 2023
Long-term time series forecasting (LTSF) aims to predict future values of a time series given the past values. The current state-of-the-art (SOTA) on this problem is attained in some cases by linear-centric models, which primarily feature a linear ...
Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti   +3 more
semanticscholar   +1 more source

Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting

IEEE transactions on fuzzy systems, 2022
The existing long-term time-series forecasting methods based on the neural networks suffer from multiple limitations, such as accumulated errors and diminishing temporal correlation, which compromise the prediction quality. To overcome these shortcomings,
Yuqing Tang, Fusheng Yu, W. Pedrycz, Xiyang Yang, Jiayin Wang, Shihu Liu   +5 more
semanticscholar   +1 more source

The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting

IEEE transactions on fuzzy systems, 2022
One drawback of using the existing one-step forecasting models for long-term time series prediction is the cumulative errors caused by iterations. In order to overcome this shortcoming, this article proposes a trend-fuzzy-granulation-based adaptive fuzzy
Yihan Wang, Fusheng Yu, W. Homenda, W. Pedrycz, Yuqing Tang, A. Jastrzębska, Fang Li   +6 more
semanticscholar   +1 more source

Terms in Time and Times in Context

Proceedings of the 24th International Conference on World Wide Web, 2015
Approaches in support of the extraction and exploration of temporal information in documents provide an important ingredient in many of today's frameworks for text analysis. Methods range from basic techniques, primarily the extraction of temporal expressions and events from documents, to more sophisticated approaches such as ranking of documents with ...
Michael Gertz, Jannik Strötgen, Thomas Bögel, Andreas Spitz   +3 more
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A high-order unconditionally stable numerical method for a class of multi-term time-fractional diffusion equation arising in the solute transport models

International Journal of Computational Mathematics, 2022
In this paper, we study a high-order unconditionally stable numerical method to approximate the class of multi-term time-fractional diffusion equations.
Mohammad Prawesh Alam, Arshad Khan, D. Baleanu   +2 more
semanticscholar   +1 more source

Is it Time to Antiquate the Term “Landlord?”

Journal of Urban Health, 2023
With the growth of community partnerships with housing providers to address social determinants of health, it may be time to rethink the term "landlord." The term, landlord, may be antiquated as it originated from medieval Europe in the 9th century, denotes rank, is male, and may create further divisions between tenants and landlords.
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Term Pregnancy: Time for a Redefinition

Clinics in Perinatology, 2011
The designation term pregnancy and the distinction between term, preterm, and postterm pregnancy carry with them significant clinical implications with respect to the management of pregnancy complications. Although the potential hazards of both preterm birth and postterm pregnancy have been long recognized, little attention has, until recently, been ...
Steven L. Clark, Alan R. Fleischman
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