Results 91 to 100 of about 291,412 (338)
EL NINO, LA NINA, DAN PENAWARAN PANGAN DI JAWA, INDONESIA
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2011 Paddy and maize are two important food crops in Indonesia and mainly produced in Java Island. This research aimed to know the impact of El Nino and La Nina on paddy and maize farmer’s supply in Java.
Arini Wahyu Utami +2 more
doaj
Resources, 2019 This paper investigates the relationship between financial development and bio-energy consumption in the European Union (EU28) countries for the period from 1990 to 2013 through the panel autoregressive distributed lag (ARDL) approach and causality ...
Mohd Alsaleh, A. S. Abdul-Rahim
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Iterative Data-adaptive Autoregressive (IDAR) whitening procedure for long and short TR fMRI
Frontiers in NeuroscienceIntroductionFunctional magnetic resonance imaging (fMRI) has become a fundamental tool for studying brain function. However, the presence of serial correlations in fMRI data complicates data analysis, violates the statistical assumptions of analyses ...
Kun Yue +5 more
doaj +1 more source
Parameter order selection of autoregressive model for classification of ground surveillance radar targets [PDF]
Scientific Technical Review, 2016 In this research the order selection of autoregressive model parameters for classification of signals from the ground surveillance radar audio-output is considered.
Bujaković Dimitrije +3 more
doaj
Application of Autoregressive Moving Average Model in the Prediction of COVID-19 of China
, 2022 Xiuling Li +5 more
openalex +2 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Modeling Measurement as a Sequential Process: Autoregressive Confirmatory Factor Analysis (AR-CFA)
Frontiers in Psychology, 2019 To model data from multi-item scales, many researchers default to a confirmatory factor analysis (CFA) approach that restricts cross-loadings and residual correlations to zero.
Ozlem Ozkok +5 more
doaj +1 more source
Improved Subset Autoregression: With R Package [PDF]
The FitAR R (R Development Core Team 2008) package that is available on the Comprehensive R Archive Network is described. This package provides a comprehensive approach to fitting autoregressive and subset autoregressive time series. For long time series
A. Ian McLeod, Ying Zhang
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source