Results 151 to 160 of about 105,549 (303)

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

Epidemiological and Time Series Analysis of Tuberculosis with Prediction during COVID-19 Pandemic using ARIMA Model: A Study from Churu District of Rajasthan. [PDF]

Indian J Community Med, 2023
Singh RK, Panwar R, Choudhary K, Matta S, Pant A.   +4 more
europepmc   +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

FORECASTING INDONESIA COMPOSITE INDEX USING HYBRID AUTOREGRESSIVE INTEGRATED MOVING AVERAGE-DOUBLE RANDOM FOREST MODEL

Barekeng
Modeling time series data using autoregressive integrated moving average (ARIMA) has been widely discussed. However, this has limitations in that it can only handle linear data.
Andika Putri Ratnasari, Luthfia Hanun Yuli Arini   +1 more
doaj   +1 more source

ARIMA model for predicting chronic kidney disease and estimating its economic burden in China. [PDF]

BMC Public Health, 2022
Jian Y, Zhu D, Zhou D, Li N, Du H, Dong X, Fu X, Tao D, Han B.   +8 more
europepmc   +1 more source

Predictive quality assurance of a linear accelerator based on the machine performance check application using statistical process control and ARIMA forecast modeling

, 2020
Wayo Puyati, Amnach Khawne, Michael P. Barnes, Benjamin Zwan, Peter B. Greer, Todsaporn Fuangrod   +5 more
openalex   +1 more source

A mobile simulation and ARIMA modeling for prediction of air radiation dose rates

, 2021
Hemn Salh, Fatih Külahçı, Serpil Aközcan   +2 more
openalex   +1 more source

Forecasting an ARIMA (0,2,1) using the random walk model with drift [PDF]

In this paper we show that the random walk model with drift behaves like an ARIMA (0,2,1) when its parameter θ is greater but close to –1. Using the random walk for predicting future values of an ARIMA (0,2,1) process, we find out that when θ is not so ...
Halkos, George, Kevork, Ilias
core   +1 more source

From Permits to Samples: Addressing Key Challenges for High‐Quality Reference Genome Generation in Europe

Molecular Ecology Resources, Volume 26, Issue 2, February 2026.
ABSTRACT High‐quality reference genome assemblies have become essential for deepening our understanding of biodiversity, yet obtaining them for many species remains surprisingly challenging. Drawing on experiences from the European Reference Genome Atlas (ERGA) community, we focus on permit and sample‐handling procedures leading up to nucleic acid ...
Katja Reichel, Jaakko Pohjoismäki, Jonas J. Astrin, Astrid Böhne, Chiara Bortoluzzi, Elena Bužan, Javier del Campo, Claudio Ciofi, Camilla B. Di‐Nizo, Pradeep K. Divakar, Carola Greve, Vladimír Hampl, Leon Hilgers, Veronika N. Laine, Jennifer A. Leonard, Jesus Lozano‐Fernandez, Lada Lukić Bilela, Camila J. Mazzoni, Ann M. McCartney, José Melo‐Ferreira, Rita Monteiro, Rebekah A. Oomen, Martina Pavlek, João Pimenta, Michal Rindos, Ole Seehausen, Andrii Tarieiev, Salvatore Tomasello, Olga Vinnere Pettersson, Robert M. Waterhouse, Alexandra A.‐T. Weber, Oleksandr Zinenko, Christian de Guttry   +32 more
wiley   +1 more source

Enhancing COVID-19 Case Forecasting in the United States: A Comparative Analysis of ARIMA, SARIMA, and RNN Models with Grid Search Optimization [PDF]

Samira Nichols, Saina Abolmaali
openalex   +1 more source