Results 141 to 150 of about 153,678 (301)

Aplikasi Metode Arima Box-Jenkins Untuk Meramalkan Penggunaan Harian Data Seluler

, 2020
Khalilah Nurfadila, Ilham Aksan
openalex   +2 more sources

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

Enhancing drought prediction precision with EEMD-ARIMA modeling based on standardized precipitation index [PDF]

Reza Rezaiy, Ani Shabri
openalex   +1 more source

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

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

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

On the Fourier Residual Modification of Arima Models in Modeling Malaria Incidence Rates among Pregnant Women [PDF]

, 2020
Chinonso Micheal Eze, Oluchukwu Chukwuemeka Asogwa, Charity Uchenna Onwuamaeze, Nnaemeka Martin Eze, Chukwunenye Ifeanyi Okonkwo   +4 more
openalex   +1 more source

Analysis of Patients With Monocytic and Monocytic‐Like Acute Myeloid Leukemia, Including AML‐M4 and AML‐M5, Treated With Venetoclax Plus Azacitidine

American Journal of Hematology, Volume 101, Issue 3, Page 577-580, March 2026.
Marina Konopleva, Courtney D. DiNardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A. Pollyea   +8 more
wiley   +1 more source

Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling, S. C. Pauws, E. R. van den Heuvel   +2 more
wiley   +1 more source

The Analysis of Time Series Data on Regression, Heuristic, and ARIMA Models

, 2020
Nargiz Mammadova
openalex   +1 more source