Results 271 to 280 of about 73,625 (339)

Multilayer Perceptron (MLP) and Autoregressive Integrated Moving Average (ARIMA) Models in Multivariate Input Time Series Data: Solar Irradiance Forecasting

, 2019
Devi Munandar
openalex   +2 more sources

Fuel Prices and Ambient Air Pollution: A Study of Sydney*

Economic Record, EarlyView.
This paper explores the short‐run influence of road transport fuel prices on ambient air pollution over the period 2004–2023 for the case of Sydney, Australia. Using daily data from nine air quality monitoring stations, we find negative effects of fuel prices on ambient concentrations of several key pollutants including ozone, nitrogen dioxide and ...
Paul J. Burke, Jian Li
wiley   +1 more source

Forecasting Imports of India Using Autoregressive Integrated Moving Average [PDF]

, 2015
Jeelan Basha.V
openalex  

Modeling of Tea Production in Bangladesh Using Autoregressive Integrated Moving Average (ARIMA) Model

, 2017
Abdur Rahman
openalex   +1 more source

Explainable spatial machine learning for hedonic real estate modeling

Real Estate Economics, EarlyView.
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger, Simona Hauri, Simon Bühlmann, Manuel Lehner, Jaron Schlesinger, Fabio Sigrist   +5 more
wiley   +1 more source

Forecasting annual incidence and mortality rate for prostate cancer in Australia until 2022 using autoregressive integrated moving average (ARIMA) models. [PDF]

BMJ Open, 2019
Earnest A, Evans SM, Sampurno F, Millar J.   +3 more
europepmc   +1 more source

Evaluating Financial Inclusion Trends in Pakistan: An Autoregressive Integrated Moving Average Forecasting and Box-Jenkins Q Test Validation

Hina Shahzadi, Sofia Anwar
openalex   +2 more sources

animal2vec and MeerKAT: A self‐supervised transformer for rare‐event raw audio input and a large‐scale reference dataset for bioacoustics

Methods in Ecology and Evolution, EarlyView.
Abstract Bioacoustic research, vital for promoting conservation and understanding animal behaviour and ecology, faces a monumental challenge: analysing vast datasets where animal vocalizations are rare. While deep learning techniques are becoming standard, adapting them to bioacoustics remains difficult.
Julian C. Schäfer‐Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal‐Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, Lily Johnson‐Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, Ariana Strandburg‐Peshkin   +11 more
wiley   +1 more source

Forecasting and predicting intussusception in children younger than 48 months in Suzhou using a seasonal autoregressive integrated moving average model. [PDF]

BMJ Open, 2019
Guo WL, Geng J, Zhan Y, Tan YL, Hu ZC, Pan P, Sheng M, Wang J, Huang SG.   +8 more
europepmc   +1 more source

Efficient statistical inference of turning points in animal movement data

Methods in Ecology and Evolution, EarlyView.
Abstract Recent years have seen a proliferation of high‐frequency animal movement data, often at greater than 1 Hz, allowing us to gain much greater insight into behaviour than with lower frequency data. In particular, it is becoming possible to detect the precise points at which animals are making decisions to turn, thus placing the idea that the ...
Abdulmajeed F. Alharbi, Paul G. Blackwell, Abdulaziz Alagaili, Nigel C. Bennett, David Michael Scantlebury, Jonathan R. Potts   +5 more
wiley   +1 more source