A5071320401- Hydrological Forecasting Using AI
- Water Quality and Pollution Assessment
- Forecasting Techniques and Applications
- Water Quality Monitoring and Analysis
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Climate variability and models
- Hydrology and Drought Analysis
- Fault Detection and Control Systems
- Higher Education and Employability
- Time Series Analysis and Forecasting
- Water resources management and optimization
- Stock Market Forecasting Methods
- Higher Education Learning Practices
- Monetary Policy and Economic Impact
- Financial Risk and Volatility Modeling
- Higher Education Governance and Development
- Diverse academic and cultural studies
- Environmental Impact and Sustainability
- Target Tracking and Data Fusion in Sensor Networks
- Complex Systems and Time Series Analysis
- Management, Economics, and Public Policy
- Air Quality Monitoring and Forecasting
- E-Government and Public Services
- Water Systems and Optimization
University of Aveiro
2012-2023
Instituto de Telecomunicações
2016
Centro Hospitalar do Baixo Vouga
2016
University of Lisbon
2011-2015
Instituto Superior de Gestão
2011-2015
Fundação para a Ciência e Tecnologia
2011-2015
Univates
2014
Universidade Aberta
2011
University of Minho
2011
University of Buenos Aires
2003-2004
To evaluate the effectiveness of a cluster visit model led by diabetes nurse educator for delivering outpatient care management to adult patients with poorly controlled diabetes.This study involved randomized trial among Kaiser Permanente's Pleasanton, CA, center who were aged 16-75 years and had either poor glycemic control (HbA1c > 8.5%) or no HbA1c test performed during previous year. Intervention subjects received multidisciplinary delivered educator, psychologist, nutritionist,...
Higher education institutions are increasingly concerned with the professional insertion of graduates in labour market and design institutional mechanisms to facilitate students’ transition from higher work, particularly given context scarcity financial resources rise graduate unemployment. This issue has been addressed, inter alia, through creation study programmes internships. Despite public discourse encouraging use such strategies, there is a general consensus regarding absence empirical...
This study deals with forecasting economic time series that have strong trends and seasonal patterns. How to best model forecast these patterns has been a long-standing issue of analysis. In this work, we propose Holt-Winters Exponential Smoothing approach in order increase the chance capturing different data thus improve performance. Therefore, main is compare accuracy models (additive multiplicative) for bring new insights about methods used via approach. These are chosen because their...
Introdução: A candidíase vulvovaginal (CVV) é uma infecção causada pela candida na região vaginal que pode afetar até 75% das mulheres no período fertil. Ela se encontra presente normalmente flora vaginal, porém quando há penetração da mucosa gera um processo inflamatório local, cursando com o desenvolvimento doença. Objetivo: Analisar manejo pacientes vulvovaginal. Metodologia: Trata-se de revisão integrativa dos últimos 3 anos do 2022 a 2025 utilizando base dados Medline. Os descritores...
In this paper, we present an empirical study of local e–government in Portugal and investigation the socio–economic indicators that are most significant to explain its development. The websites all Portuguese municipalities were analysed according three dimensions: government information, service delivery participation. results investigated using regression models identify development clustering techniques homogeneous groups what concerns We factors discriminating for each dimension...
The monitoring and prediction of water quality parameters are important tasks in the management resources. In this work, performances time series statistical models were evaluated to predict forecast dissolved oxygen (DO) concentration several sites located along main river Vouga, Portugal, during period from January 2002 May 2015. being compared a regression model with correlated errors state-space model, which can be seen as calibration model. Both allow incorporation variables, such...
This work presents the statistical analysis of a monthly average temperatures time series in several European cities using state space approach, which considers models with deterministic seasonal component and stochastic trend. Temperature rise rates Europe seem to have increased last decades when compared longer periods. Therefore, change point detection methods, both parametric non-parametric were applied standardized residuals (or some other related component) order identify these...
This paper uses state space models and the Kalman filter to merge weather radar rain gauge measurements in order improve area rainfall estimates. Particular attention is given estimation of model parameters because precipitation data clearly deviates from normal distribution, commonly used maximum likelihood method difficult apply does not perform well. work based on 17 storms occurring between September 1998 November 2000 an including part Alenquer river hydrographical basin. Based these...
In this study, the Schwarz Information Criterion (SIC) is applied in order to detect change-points time series of surface water quality variables. The application change-point analysis allowed detecting both mean and variance under study. Time variations environmental data are complex they can hinder identification so-called when traditional models type problems. seasonality structure incorporated through a linear modeling approach. assumptions normality uncorrelation not present some...
Curricular internships are increasingly seen as an effective strategy capable of contributing to the objectives and targets sustainable development paradigm, both in its social, economic institutional dimensions. This positive outlook is ingrained within large bulk existing research, which has been focused on discussion outputs, such enhancement graduates′ competences (employability) their work integration (employment). An important, albeit relatively unexplored, feature politics curricular...
Exponential smoothing methods are the most used in time series modeling and forecasting, due to their versatility vast model option they integrate. Also, within computing statistical area, Bootstrap methodology is widely applied inference concerning series. Therefore, this study's main objective analyse Holt-Winters exponential method's performance associated methodology, as an alternative procedure for forecasting The combined with a study case on environmental surface water quality...
Abstract In recent decades, the world has been confronted with consequences of global warming; however, this phenomenon is not reflected equally in every part globe. Thus, warming must be monitored a more regional or local scale. This paper analyzes monthly long‐term time series air temperatures three Portuguese cities: Lisbon, Oporto, and Coimbra. We propose periodic state‐space framework, associated suitable version Kalman filter; which allows for estimation rates taking into account...