Results 141 to 150 of about 105,549 (303)

Trend of North African Dust Storms and Potential Link to Climate Change

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract Over recent decades, North African dust storms have undergone marked variability, reflecting complex interactions between regional climate processes and environmental change. Using four decades (1984–2023) of visibility‐based observational records, we examine regional and seasonal trends in dust storm frequency across the Sahel and the Sahara,
Kolotioloma Yeo, Ayodeji Oluleye, Fidele Yoroba, Mehdi Hamidi, Yaping Shao   +4 more
wiley   +1 more source

The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model. [PDF]

PLoS One, 2023
Costa EM, Magalhães Rodrigues ES, de Sousa FS, Pimentel FB, Sodré Lopes MB, Vissoci JRN, Thomaz EBAF.   +6 more
europepmc   +1 more source

PERAMALAN EKSPOR NON MIGAS DI PROPINSI DAERAH ISTIMEWA YOGYAKARTA DENGAN METODE ARIMA [PDF]

, 2010
Skripsi ini bertujuan untuk mengetahui prosedur peramalan dengan metode ARIMA (Autoregressive Integrated Moving Average) dan untuk mengetahui hasil peramalan ekspor barang non migas tahun 2010-2012 di Propinsi Daerah Istimewa Yogyakarta.
Maryono, Rista Fitria Resky
core  

Innovative Approaches to Modelling and Forecasting in Fisheries: A Critical Review

Aquaculture, Fish and Fisheries, Volume 6, Issue 1, February 2026.
ABSTRACT Fisheries management increasingly demands robust forecasting tools to address growing environmental variability, anthropogenic pressures and complex ecological dynamics. This review systematically examines innovative modelling and forecasting approaches in fisheries, focusing on their descriptions, applications, strengths and limitations and ...
Mohammad Abu Baker Siddique, Ilias Ahmed, Balaram Mahalder, Shahrina Akhtar, Mohammad Mahfujul Haque, A. K. Shakur Ahammad   +5 more
wiley   +1 more source

Heat supply prediction method of a heat pump system based on timing analysis and a neural network

Energy and Built Environment
The prediction of heat pump system has more complicated characteristics, and the prediction accuracy of the existing single model is not ideal. From the perspective of energy efficiency and energy consumption, it is necessary to improve the accuracy of ...
Xin Liu, Xiuhui Wu, Jingmeng Sang, Kailiang Huang, Guohui Feng, Mengmeng Song, Xiangdong Wang   +6 more
doaj   +1 more source

Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model. [PDF]

Cureus, 2023
Ab Rashid MA, Ahmad Zaki R, Wan Mahiyuddin WR, Yahya A.   +3 more
europepmc   +1 more source

Predicting the Pandemic COVID-19 Using ARIMA Model

, 2020
Nguyen Quoc Duong, Le Phuong Thao, Dinh Thi Nhu Quynh, Lê Thanh Bình, Cao Thi Ai Loan, Phung Thi Hong Diem   +5 more
openalex   +2 more sources

Ligand‐Driven Structural Modulation and Enhanced Photoluminescence in High‐Nuclearity Ag56 Nanoclusters

Aggregate, Volume 7, Issue 2, February 2026.
The study reveals a clear structure–property relationship in Ag56 nanoclusters by modulating auxiliary ligands while maintaining identical thiolate protection. Subtle ligand‐induced geometric distortions alter electronic transitions, leading to enhanced photoluminescence through increased radiative decay and suppressed non‐radiative losses.
Aoi Akiyama, Sakiat Hossain, Sourav Biswas, Takafumi Shiraogawa, Pei Zhao, Daichi Arima, Tokuhisa Kawawaki, Yoshiki Niihori, Masaaki Mitsui, Masahiro Ehara, Yuichi Negishi   +10 more
wiley   +1 more source

Decision-making model to predict auto-rejection: An implementation of ARIMA for accurate forecasting of stock price volatility during the Covid-19

, 2022
Suripto Suripto
openalex   +1 more source

Prediction intervals in conditionally heteroscedastic time series with stochastic components. [PDF]

Differencing is a very popular stationary transformation for series with stochastic trends. Moreover, when the differenced series is heteroscedastic, authors commonly model it using an ARMA-GARCH model. The corresponding ARIMA-GARCH model is then used to
Espasa, Antoni, Pellegrini, Santiago, Ruiz, Esther   +2 more
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