Results 91 to 100 of about 51,738 (285)
Gold price forecasting using ARIMA-GARCH model during COVID-19 pandemic outbreak [PDF]
Gold has been considered one of the most reliable assets in finance and a safe-haven investment, especially during turbulent conditions in the economy. Taking this into consideration, a new interest began to take place in the study of gold prices during ...
Yaziz, Siti Roslindar +4 more
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Med Research, EarlyView.The study highlights the rising cervical cancer burden in Africa, where rates have increased since 1990. Key challenges include structural health inequalities, low HPV vaccination coverage, and limited screening. Projections suggest a continued increase in incidence, deaths, and DALYs by 2038, diverging further from global trends.
Yedong Huang +18 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT This study examines how home‐ and host‐country institutions jointly shape the impact of foreign direct investment (FDI) on firms' climate action commitments (CAC) in emerging markets. Drawing on New Institutional Economics and Varieties of Capitalism, we conceptualize FDI as a mechanism of institutional transmission through which multinational
Jose Pla‐Barber, David Tobón‐Orozco
wiley +1 more source
PREVENTING NEGATIVE VALUES WHEN FORECASTING NON-NEGATIVE TIME SERIES VARIABLES [PDF]
Business Excellence and Management, 2018 Long run time series variables forecasting is of special importance to academics and professionals alike. In this paper, the disadvantage of the “Natural Logarithm” transformation that prevents generating negative values in the forecast horizon is ...
Ali TFAILY
doaj
Decomposition and modeling of signal shapes of single point cardiac monitoring
Current Directions in Biomedical Engineering, 2020 We introduce a novel method for electronic recording of cardiac signals from a single point at the skin in contrast to classical differential electrocardiography (ECG).
Eyvazi Hesar Milad +4 more
doaj +1 more source
A new mixed multiplicative-additive model for seasonal adjusment [PDF]
Usually, seasonal adjustment is based on time series models which decompose an unadjusted series into the sum or the product of four unobservable components (trendcycle, seasonal, working-day and irregular components).
Arz, Stephanus
core
Sustainable Development, EarlyView.ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem +3 more
wiley +1 more source
Forecasting ARIMA models for atmospheric vineyard pathogens in Galicia and Northern Portugal: Botrytis cinerea spores [PDF]
, 2012 Botrytis cinerea is the cause of the most common disease in the Galician and Portuguese vineyards. Knowledge of the spore levels in the atmosphere of vineyards is a tool for forecasting models of the concentration of spores in order to adjust the ...
Jato, Victoria +6 more
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Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Univariate and multivariate ARIMA versus vector autoregression forecasting [PDF]
The purposes of this study are two: 1) to compare the forecasting abilities of the three methods: univariate autoregressive integrated moving average (ARIMA), multivariate autoregressive integrated moving average (MARIMA), and vector autoregression (both
Michael L. Bagshaw
core