Results 121 to 130 of about 13,877 (197)
Application of the ARIMA Model to Predict Under-Reporting of New Cases of Hansen's Disease during the COVID-19 Pandemic in a Municipality of the Amazon Region. [PDF]
da Cunha VP +5 more
europepmc +1 more source
Abstract Ionospheric Total Electron Content (TEC) is the primary error source causing signal delay in Global Navigation Satellite Systems (GNSS). High‐precision TEC prediction is essential for positioning, navigation, and space weather monitoring. Although deep learning models including ConvLSTM, ConvGRU, and Transformer have advanced TEC forecasting ...
Yiling Gui +5 more
wiley +1 more source
Analysis of cutaneous leishmaniasis among military personnel in the Islamic Republic of Iran: a spatiotemporal study between 2018 and 2022, trend forecasting based on ARIMA model. [PDF]
Tadayonfar R +8 more
europepmc +1 more source
The Economic and Ecological Impact of Soy in Brazil: A Synthetic Control Method Approach
ABSTRACT In recent decades, soy expansion in Brazil has generated significant environmental, social and economic impacts. However, there is no consensus about benefits and drawbacks, calling for a more careful account of the economic and ecological diversity of the territories where this phenomenon has been unfolding.
Stefano Ghinoi +3 more
wiley +1 more source
Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model. [PDF]
Yang P +5 more
europepmc +1 more source
Background and Purpose The CKLF‐like MARVEL transmembrane domain containing superfamily (CMTM) has an important role in tumour immunity. The role of CMTM8 in tumour immune microenvironment (TIME) remains unknown. The aim was to investigate the relationship between CMTM8 and antitumour immunity. Experimental Approach Lentiviral system was established to
Fanglin Li +14 more
wiley +1 more source
ABSTRACT Forecasting cryptocurrency prices remains challenging due to extreme volatility, regime‐dependent dynamics, and unstable cross‐asset correlations. Statistical methods such as ARIMA and GARCH assume stationarity and linear dependence structures, making them inadequate for capturing non‐linear temporal patterns in high volatile cryptocurrency ...
Huali Zhao +2 more
wiley +1 more source
ABSTRACT Marine ecosystems are experiencing warming events in various regions of the world. Thus, many fish species and populations are now being impacted by the warmer water temperature conditions. Previous studies have reported temperature‐dependent sex determination (TSD) in various fish species.
Junichi Iijima, Akinori Takasuka
wiley +1 more source

