Results 91 to 100 of about 474,013 (158)

Spatial impact on inflation of Java Island prediction using Autoregressive Integrated Moving Average (ARIMA) and Generalized Space-Time ARIMA (GSTARIMA). [PDF]

MethodsX
Safira A, Dhiya'ulhaq RA, Fahmiyah I, Ghani M.   +3 more
europepmc   +1 more source

Assessing the Predictive Capabilities of Autoregressive Integrated Moving Average and Linear Regression Models for Acute Changes in Clinical and Selected Laboratory Parameters in Children After Cardiac Surgery in the ICU. [PDF]

Children (Basel)
Sharwardy SN, Sarwar H, Hasan MNA, Rahman MZ.   +3 more
europepmc   +1 more source

Forecasting weekly dengue incidence in Sri Lanka: Modified Autoregressive Integrated Moving Average modeling approach. [PDF]

PLoS One
Karasinghe N, Peiris S, Jayathilaka R, Dharmasena T.   +3 more
europepmc   +1 more source

Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization. [PDF]

Front Plant Sci
V P, Kumar AMS, Praveen JIR, Venkatraman S, Kumar SP, Aravintakshan SA, Abeshek A, Kannan A.   +7 more
europepmc   +1 more source

Influenza time series prediction models in a megacity from 2010 to 2019: Based on seasonal autoregressive integrated moving average and deep learning hybrid prediction model. [PDF]

Chin Med J (Engl)
Yang J, Yang L, Li G, Du J, Ma L, Zhang T, Zhang X, Yang J, Feng L, Yang W, Wang C.   +10 more
europepmc   +1 more source

Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network. [PDF]

Heliyon
Maboudi Reveshti A, Khosravirad E, Rouzbahani AK, Fariman SK, Najafi H, Peivandizadeh A.   +5 more
europepmc   +1 more source

Monitoring gamma type-I censored data using an exponentially weighted moving average control chart based on deep learning networks. [PDF]

Sci Rep
Lee PH, Liao SL.
europepmc   +1 more source

Forecasting of the true satellite carbon monoxide data with ensemble empirical mode decomposition, singular value decomposition and moving average. [PDF]

J Appl Stat
Poongadan S, Lineesh MC.
europepmc   +1 more source