Human Activity Prediction using Long Short Term Memory [PDF]
Early symptoms of dementia is one of the causes decrease in quality of life. Human activity recognition (HAR) system is proposed to recognize the daily routines which has an important role in detecting early symptoms of dementia.
Septiadi Jaka, Warsito Budi, Wibowo Adi
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Long term prediction of flood occurrence [PDF]
How long a river remembers its past is still an open question. Perturbations occurring in large catchments may impact the flow regime for several weeks and months, therefore providing a physical explanation for the occasional tendency of floods to ...
C. Aguilar, A. Montanari, M. J. Polo
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Chinese Provincial Air Pollutant Concentration Prediction over the Long Term
Although China’s urban air quality has improved, there are still many cities that do not meet China’s ambient air quality standards and experience serious air pollution problems, causing tremendous damage to people’s health and sustainable social ...
Kai Zhao, Limin Xu
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Optimization based Long Short Term Memory Network for Protein Structure Prediction
One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
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Accurate electricity consumption prediction using enhanced long short‐term memory
In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
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Location Prediction of Sperm Cells Using Long Short‐Term Memory Networks
Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus ...
Lioz Noy +5 more
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A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series
In many big cities, train delays are among the most complained-about events by the public. Although various models have been proposed for train delay prediction, prior studies on both primary and secondary train delay prediction are limited in number ...
Jianqing Wu +8 more
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Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. Binary classification of the non-lung-cancer mortality (i.e.
Yaozhi Lu +4 more
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Photovoltaic generation prediction using the deep learning long short term memory model
Solar photovoltaic energy is a renewable, clean and safe energy source that is currently used worldwide. However, it presents a dynamic and intermittent behavior, caused by the variation of climatic conditions.
Reinier Herrera Casanova +1 more
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Linear Prediction and Long Term Predictor Analysis and Synthesis
Spectral analysis may not provide an accurate description of speech articulation. This article presents an experimental setup of representing speech waveform directly in terms of timevarying parameters. It is related to the transfer function of the vocal
Xiaohua Zhou, Banu W. Yohanes
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