Results 261 to 270 of about 73,625 (339)

Impact of COVID-19 pandemic in the Brazilian maternal mortality ratio: A comparative analysis of Neural Networks Autoregression, Holt-Winters exponential smoothing, and Autoregressive Integrated Moving Average models. [PDF]

PLoS One
Cañedo MC, Lopes TIB, Rossato L, Nunes IB, Faccin ID, Salomé TM, Simionatto S.   +6 more
europepmc   +1 more source

Autoregressive Integrated Moving Average (p,d,q)モデルについて (時系列解析の推測 : 理論と応用)

, 1981
光昭 藤井
openalex   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei, Xin Xu, Yixing Lan, Tenglong Liu, Yueying Wang   +4 more
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Targeted Trade Policy Instruments and Climate Change Mitigation: The Case of Environmental Provisions in Trade Agreements

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This article examines the effect of including environmental provisions (EPs) in preferential trade agreements (PTAs) on climate change mitigation and explores whether these effects vary based on the heterogeneity of the EPs. Our analysis combines country‐level data on climate change mitigation with details on 300 types of EPs in 775 trade ...
Petros Suzgo Kayovo Mkandawire, Dela‐Dem Doe Fiankor, Bernhard Brümmer   +2 more
wiley   +1 more source

Gender‐Sensitive Resilience in Kyrgyz Households: Latent Profile and Cross‐Lagged Dynamic Panel Approaches

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Resilience is still conceptualised as gender‐neutral in research and policy discussions. However, a gendered resilience framework suggests that gender roles and intra‐household dynamics are intricately linked with household resilience. This manuscript aims to analyse the effect of gender role attitudes on climate change resilience.
Bekhzod Egamberdiev, Lena Kuhn, Ihtiyor Bobojonov, Thomas Glauben   +3 more
wiley   +1 more source

Effect of Targeted Aspirin Administration Based on First Trimester Combined Screening for Preeclampsia on Preterm Birth: An Interrupted Time Series Analysis

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objectives To assess the effect of an aspirin intervention program on preterm birth (PTB) rates in women identified as high‐risk for preterm preeclampsia in the first‐trimester screening. Design This is a retrospective study evaluating the impact of the intervention program on preterm birth using interrupted time series analysis (ITSA) with an
Monica Minopoli, Alicia Martínez‐Varea, Claire Pegorie, Pilar Palmrich, Ana Pinas, Basky Thilaganathan   +5 more
wiley   +1 more source

Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model.

JMIR Public Health Surveill, 2020
Singh RK, Rani M, Bhagavathula AS, Sah R, Rodriguez-Morales AJ, Kalita H, Nanda C, Sharma S, Sharma YD, Rabaan AA, Rahmani J, Kumar P.   +11 more
europepmc   +1 more source

Crime Prediction using Autoregressive Integrated Moving Average (ARIMA) Algorithm

International Journal of Advanced Trends in Computer Science and Engineering, 2019
openaire   +1 more source