Results 131 to 140 of about 327,440 (196)

Particulate matter (PM2.5 and PM10) prediction using fourier series decomposition in combination with LSTM and SVM. [PDF]

Sci Rep
Bennis M, Youssfi M, Morabet RE, Alsubih M, Khan RA.   +4 more
europepmc   +1 more source

Comment on "Clinical management implications from 33,579 urinary stones: novel patterns in composition, comorbidities, seasonal variation, and machine learning-based urosepsis prediction". [PDF]

Int J Surg
Wan B, Lu W.
europepmc   +1 more source

Hybrid prediction system for reliable multi-seasonal sustainable energy generation under meteorological and environmental volatility. [PDF]

Sci Rep
Liu H, Cai C, Li P, Wang Y, Zhao M, Tang C, Tu B, Li Y, Zheng X, Ma Y, Liang H, Chen M.   +11 more
europepmc   +1 more source

Epidemiological characteristics and incidence prediction of varicella from 2014 to 2023 in Chongqing, China. [PDF]

Front Public Health
Tang H, Mao S, Yang P, Fan Q, Xiao D, Deng D.   +5 more
europepmc   +1 more source

A theory-guided multi-scale temporal fusion network for road surface temperature nowcasting. [PDF]

iScience
Wang K, Bao Y, Wei X, Zhu C, Liu D.
europepmc   +1 more source

A Bayesian model with seasonal effects for predicting accrual in clinical trials: Application to HOBIT and BOOST-3 trials for severe traumatic brain injury. [PDF]

Contemp Clin Trials Commun
Rahman MM, Saif MSI, Beall J, Martin RL, Rockswold GL, Barsan WG, Korley FK, Silbergleit R, Stevenson V, Gajewski B.   +9 more
europepmc   +1 more source

Redefining multi-target weather forecasting with a novel deep learning model: Hierarchical temporal convolutional long short-term memory with attention (HTC-LSTM-Attn) in Bangladesh. [PDF]

PLoS One
Kabir MA, Chakma C.
europepmc   +1 more source

Climate-Driven Advanced Machine Learning Approach for Dengue Incidence Forecasting in Bangladesh. [PDF]

Health Sci Rep
Faruk O.
europepmc   +1 more source

Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework. [PDF]

Sci Rep
Su X, Gao J, Han K, Kim H, Jung H.
europepmc   +1 more source

CLIVAR Exchanges No. 54

, 2010
International CLIVAR Project Office
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