25 documents found, page 1 of 3
Feature Selection Optimization for Heart Rate Variability
Antunes, Ana Rita; Silva, Joaquim P.; Braga, Ana Cristina; Gonçalves, JoaquimFeature selection optimization has gained attention since it helps extract good insights about a given subject. It is commonly used to reduce the dimensionality of the problem and to identify the best combination of features with aim of improving the prediction or classification model performance. Thereby, the present study intended to determine the best subset of features to classify the drowsiness state, into...
A novel human-centered methodology for assessing manual-to-collaborative safe c...
Cardoso, André; Colim, Ana; Bicho, Estela; Braga, Ana Cristina; Arezes, P.The Industry 5.0 paradigm places workers’ well-being and safety at the core of the production processes. Despite its objectives, the current industry still faces several challenges. Examples of these challenges include global market pressures for customized products, along with the significant occurrence of Work-Related Musculoskeletal Disorders and the ageing workforce. These challenges underscore the persiste...
Predicting the probability of occupational accidents occurrence in a Portuguese...
Sena, Inês; Silva, Felipe Gustavo Soares da; Braga, Ana Cristina; Fernandes, Florbela P.; Vaz, Clara B.; Pacheco, Maria F.; Novais, Paulo; Lima, JoséWorkplace accidents are a global problem impacting companies and society, as employee well-being and productivity/profit can be affected. Portugal ranks fifth among European Union countries despite efforts to reduce their frequency. Predictive solutions have demonstrated promising results in several economic sectors, but the retail sector, the country's third-largest in accident records, remains unexplored. Thi...
Exploring Features to Classify Occupational Accidents in the Retail Sector
Sena, Inês; Braga, Ana Cristina; Novais, Paulo; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara B.; Lima, José; Pereira, Ana I.The Machine Learning approach is used in several application domains, and its exploitation in predicting accidents in occupational safety is relatively recent. The present study aims to apply different Machine Learning algorithms for classifying the occurrence or nonoccurrence of accidents at work in the retail sector. The approach consists of obtaining an impact score for each store and work unit, considering ...
Predicting Retail Store Transaction Patterns: A Comparison of ARIMA and Machine...
Vaz, Clara B.; Sena, Inês; Braga, Ana Cristina; Novais, Paulo; Lima, José; Pereira, Ana I.Retail transactions represent sales of consumer goods, or final goods, by consumer companies. This sector faces security challenges due to the hustle and bustle of sales, affecting employees’ workload. In this context, it is essential to estimate the number of customers who will appear in the store daily so that companies can dynamically adjust employee schedules, aligning workforce capacity with expected deman...
Functionalization of gutta-percha surfaces with argon and oxygen plasma treatme...
Ferreira, Inês; Lopes, Cláudia; Rodrigues, Marco S.; Rodrigues, Pedro António Veiga; Castro, Cidália; Braga, Ana Cristina; Lopes, Maria; Vaz, FilipeGutta-percha's lack of adhesion has been presented as a drawback to avoid gaps at sealer/gutta-percha interface. Plasma treatments have been scarcely assessed on gutta-percha surfaces as a method of enhancing adhesiveness. This study aimed to evaluate the effect of low-pressure Argon and Oxygen plasma atmospheres on conventional and bioceramic gutta-percha standardized smooth discs, assessing their roughness, s...
Initial teacher education after the Bologna process. Possibilities and challeng...
Pereira, Íris Susana; Fernandes, Eva Lopes; Braga, Ana Cristina; Flores, Maria AssunçãoWe present the perspectives of Portuguese pre-service teachers about a formative strategy developed to promote learning about language and literacy education. The strategy was underpinned by theories about the pedagogical content knowledge (PCK), rehearsed (or simulated) agency, the epistemology of reflective practise and assessment for learning. It was implemented during a whole semester, after which pre-servi...
Integrated feature selection and classification algorithm in the prediction of ...
Sena, Inês; Lima, Laíres; Silva, Felipe G.; Braga, Ana Cristina; Novais, Paulo; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara; Lima, JoséAssessing the different factors that contribute to accidents in the workplace is essential to ensure the safety and well-being of employees. Given the importance of risk identification in hazard prediction, this work proposes a comparative study between different feature selection techniques (χ2 test and Forward Feature Selection) combined with learning algorithms (Support Vector Machine, Random Forest, and Nai...
Obesity effects on muscular activity during lifting and lowering tasks
Colim, Ana; Arezes, Pedro; Flores, Paulo; Monteiro, Pedro; Mesquita, Inês; Braga, Ana CristinaObesity is an emerging health problem and its incidence has been increasing throughout the workforce. In industrial workstations, vertical handling tasks (VHT), including lifting and lowering, are very common and can cause a significant muscular overload for the involved workers. During these tasks, muscular activity may be considerably affected by workers' body conditions. This study aims to analyze and compar...
Effect of sonic agitation of a binary mixture of solvents on filling remnants r...
Ferreira, Inês; Babo, Pedro S.; Braga, Ana Cristina; Gomes, Manuela E.; Pina-Vaz, IreneBackground: This work aimed to evaluate the efficacy of sonic agitation of a binary mixture of solvents (methyl ethyl ketone/tetrachloroethylene) on filling remnants removal and compare the effects of solvent agitation with the enlargement to the next instrument size. Methods: Twenty-four mandibular incisors were prepared with ProTaper Next (X1, X2) and obturated with the single-cone technique and AH Plus seale...