Results 321 to 330 of about 33,047,881 (379)
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Inverse Problems, 2021
In the present paper, we devote our effort to a nonlinear inverse problem for simultaneously recovering the potential function and the fractional orders in a multi-term time-fractional diffusion equation from the noisy boundary Cauchy data in the one ...
Liangliang Sun, Y. Li, Yun-Huang Zhang
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In the present paper, we devote our effort to a nonlinear inverse problem for simultaneously recovering the potential function and the fractional orders in a multi-term time-fractional diffusion equation from the noisy boundary Cauchy data in the one ...
Liangliang Sun, Y. Li, Yun-Huang Zhang
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Timing and consequences of early term and late term deliveries
The Journal of Maternal-Fetal & Neonatal Medicine, 2013To examine the timing of elective delivery and neonatal intensive care unit (NICU) utilization of electively delivered infants from 2008 to 2011.Analysis included 42,290 women with singleton gestation enrolled in a pregnancy education program, reporting uncomplicated pregnancies with elective labor induction (ELI) (n = 27,677) or scheduled cesarean ...
Niki Istwan+6 more
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SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
International Conference on Machine LearningThis paper introduces SparseTSF, a novel, extremely lightweight model for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal dependencies over extended horizons with minimal computational resources ...
Shengsheng Lin+4 more
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Is It Time to Retire the Term "Dementia"?
Journal of Neuropsychiatry, 2000Received August 3, 1999; November 17, 1999; accepted January 17, 2000. From the School of Psychiatry, University of New South Wales, and Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW, Australia. Address correspondence to Dr. Sachdev, NPI, The Prince of Wales Hospital, Randwick, NSW 2031, Australia; e-mail: P.Sachdev@unsw.edu.au ...
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Unlocking the Power of LSTM for Long Term Time Series Forecasting
AAAI Conference on Artificial IntelligenceTraditional recurrent neural network architectures, such as long short-term memory neural networks (LSTM), have historically held a prominent role in time series forecasting (TSF) tasks. While the recently introduced sLSTM for Natural Language Processing
Yaxuan Kong+7 more
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IEEE transactions on fuzzy systems
Considerable research achievements have been made in utilizing information granulation as an effective technique for addressing long-term time-series forecasting.
Chenglong Zhu+3 more
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Considerable research achievements have been made in utilizing information granulation as an effective technique for addressing long-term time-series forecasting.
Chenglong Zhu+3 more
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Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Neural Information Processing SystemsIn long-term time series forecasting (LTSF) tasks, an increasing number of models have acknowledged that discrete time series originate from continuous dynamic systems and have attempted to model their dynamical structures. Recognizing the chaotic nature
Jiaxi Hu+6 more
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Time and the Long-term Prisoner
1990Those who dislike speculation about past and future can usually see an end to the situation which has induced such relative breaks in the normal scheduling of life; they can consider plans for when they get out of hospital, or prison, or home on holiday.
Laurie Taylor, Stanley Cohen
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Lingodroids: Learning terms for time
2012 IEEE International Conference on Robotics and Automation, 2012For humans and robots to communicate using natural language it is necessary for the robots to develop concepts and associated terms that correspond to the human use of words. Time and space are foundational concepts in human language, and to develop a set of words that correspond to human notions of time and space, it is necessary to take into account ...
Heath, Scott+3 more
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Controllability of multi-term time-fractional differential systems with state-dependent delay
Journal of Applied Analysis, 2020In this paper, controllability results for a class of multi-term time-fractional differential systems with state-dependent delay have been studied. The concept of fractional calculus, measure of noncompactness and Mönch fixed-point theorem has been ...
Renu Chaudhary+2 more
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