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Industry 4.0 has brought numerous advantages, such as increasing productivity through automation. However, it also presents major cybersecurity issues, such as cyberattacks affecting industrial processes. Federated Learn...

Abstract Background Payment methods are known to influence maternal care delivery in health systems. Ghana suspended a piloted capitation provider payment system after nearly five years of implementation. This study aime...

Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most eco...

Building on the premise that macroeconomic variables – such as prices, agricultural income, and the real exchange rate – are associated with deforestation dynamics, this study investigates both the longrun relationsh...

Long-term ocean time-series stations have significantly advanced our understanding of ocean–climate interactions, yet marginal seas remain underrepresented in global observing networks. The East Sea (Japan Sea) provide...

Abstract Background Pacific island countries (PICs), including Fiji, are among the most vulnerable to the health impacts of climate change. In Fiji, acute watery diarrhea (AWD) remains a common communicable disease of pu...

El libro presenta una colección de 50 ejercicios básicos de análisis de series temporales. Se ha concebido como material de apoyo y complemento a las clases teóricas relativas a las materias de Análisis de Series Te...

This paper models occasional, discrete shifts in the growth rate of a nonstationary series. Algorithms for inferring these unobserved shifts are presented, a byproduct of which permits estimation of parameters by maximum...

International audience

Materias / palabras clave: Series temporales; Modelos econométricos; Time-series analysis; Econometrics

Materias / palabras clave: Time-series analysis; Análisis de series temporales; Engineering; Ingeniería

David A. Dickey, Wayne A. Fuller, Distribution of the Estimators for Autoregressive Time Series With a Unit Root, Journal of the American Statistical Association, Vol. 74, No. 366 (Jun., 1979), pp. 427-431

This paper proposes new tests for detecting the presence of a unit root in quite general time series models. Our approach is nonparametric with respect to nuisance parameters and thereby allows for a very wide class of w...

Transportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location...

"This thesis investigates the application of machine learning methods to the task of deforestation monitoring using time-series satellite data. The objective is to assess how different algorithmic approaches perform in d...

The paper aims to examine Croatian import demand elasticities to changes in income and relative prices while allowing time variation in parameters of import demand. Data sample consist of quarterly time series...

Abstract This paper presents an effective approach for lower-order (LO) modeling of an electric vehicle–integrated off-grid microgrid (OMG) system. The seventh-order system (SOS) of the OMG is reduced to a second-order...

This research describes a deep learning-based artificial neural network (ANN) approach for the detection, classification, and localization of series faults (open conductor faults) in power distribution networks. The ANN ...

Arc fault, especially series arc fault, has been the primary cause of electrical fire, which is intermittent, hidden, random and uncertain, difficult to detect, and serious harm. The characteristics of arc fault are firs...

We treat financial markets as complex networks. It is commonplace to create a filtered graph (usually a Minimally Spanning Tree) based on an empirical correlation matrix. In our previous studies we have extended this sta...

Abstract Multiple drivers of global change are causing rapid biodiversity loss worldwide. However, predicting species’ trajectories remains challenging due to the dynamic and state-dependent nature of ecological respon...

Air temperature is a highly essential parameter in weather forecasting methods and a critical variable for predicting future weather patterns. An accurate temperature prediction system can assist individuals and organiza...

Abstract To address the limitations of existing oil-well production forecasting models, particularly suboptimal hyperparameter selection, difficulties in fine-tuning, insufficient global search capability, and slow conve...

ABSTRACT The objective of this study was to assess behavior patterns in Brazilian farm milk prices. We employed a structural time series techniques model, the Unobserved Component Model (UCM), which is part of the family...