Results 91 to 100 of about 21,185 (243)
This study aims to compare the effectiveness of the ARIMA (Autoregressive Integrated Moving Average) method and multiple linear regression in projecting population growth in Metro City, Lampung.
Tri Aristi Saputri +2 more
doaj +1 more source
Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery +6 more
wiley +1 more source
Forecasting Wheat Production in Libya Using ARIMA Model-ARIMA
The wheat crop is a strategic crop in Libya as a food crop and a raw material for some food industries. The study aimed to predict the amount of wheat production in context of Libya during the next six years from 2023-2028. The Auto-regressive Integrated Moving Average (ARIMA) model has been used and relied on Food and Agriculture Organization data ...
openaire +1 more source
ABSTRACT Understanding financial behaviour, particularly in the stock market, has attracted significant interest in recent years due to advancements in artificial intelligence and its impact on the global economy. The field of stock market prediction, which explores the interaction between finance and computer science to create predictive models, aims ...
Jair O. González +4 more
wiley +1 more source
ABSTRACT Temperature is an important factor affecting daily life, and accurate multi‐step temperature prediction can provide essential support for weather prediction, energy management, agricultural planning, and disaster mitigation. However, as the prediction horizon extends, the nonlinear nature of temperature data becomes more prominent, making it ...
Baohe Liu +4 more
wiley +1 more source
This multicenter study identified use of dilation devices and antegrade stenting are risk factors for procedure‐related early adverse events following endoscopic ultrasound‐guided hepaticogastrostomy. ABSTRACT Objectives Endoscopic ultrasound‐guided hepaticogastrostomy (EUS‐HGS) is useful in cases of endoscopic retrograde cholangiopancreatography ...
Shinichi Hashimoto +19 more
wiley +1 more source
ABSTRACT Pairs trading, a popular algorithmic trading strategy, exploits the short‐term price difference (spread) between two comoving assets. Empirically, the spread distribution of most assets in pairs trading has a fat‐tail characteristic that does not follow a normal distribution.
Yuhee Kwon, Youngsoo Choi
wiley +1 more source
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
Noppakun Thammatacharee, 1, 2 Rapeepong Suphanchaimat 2, 3 1Health Systems Research Institute, Nonthaburi, Thailand; 2International Health Policy Program (IHPP), the Ministry of Public Health, Nonthaburi, Thailand; 3Division of Epidemiology ...
Thammatacharee N, Suphanchaimat R
doaj
EQMT integrates earthquake catalog data, fault‐network geometry, engineered features, and graph embeddings in a unified framework for forecasting earthquake magnitude and occurrence time. The framework is designed to reflect inter‐fault spatial dependencies together with temporal seismic patterns, addressing limitations of approaches based only on ...
Kiymet Kaya +5 more
wiley +1 more source

