63 documents found, page 1 of 7
Mining population opinion about local police
Matos, K.; Ribeiro, R.; Ferreira, J. C.Sentiment analysis, or opinion mining, is an important task of natural language processing (NLP) that extracts opinions, attitudes, and emotions from text. With the growth of digital platforms like blogs and social networks, opinion mining has become a key tool for organizations to understand public sentiment. In recent research, machine learning and lexicon-based approaches have been applied to analyze sentime...
Enhancing sustainable last-mile delivery: The impact of electric vehicles and A...
Ferreira, J. C.; Esperança, M.The rapid growth of e-commerce has intensified the need for efficient and sustainable last-mile delivery solutions in urban environments. This paper explores the integration of electric vehicles (EVs) and artificial intelligence (AI) into a combined framework to enhance the environmental, operational, and economic performance of urban logistics. Through a comprehensive literature review, we examine current tren...
New software product development: Bibliometric analysis
Mata, P. N.; Martins, J. M.; Ferreira, J. C.The aim of this article is to conduct a comprehensive bibliometric analysis of the existing literature in the domain of new software product development. The research methodology is based on bibliometrics, cluster analysis and meta-analysis of key indicators of knowledge dissemination and publications about the new software product in the Scopus scientometric database for 2003–2022.Through bibliometric analysis...
Decentralizing online food delivery services: A blockchain and IoT model for sm...
Tokkozhina, U.; Mataloto, B. M.; Martins, A. L.; Ferreira, J. C.With the worldwide pandemic outbreak, the style of restaurant food consumption underwent a major shift towards online delivery services. This poses an urgent need in trust between main stakeholders of the process: requiring restaurants to correspond to the quality declared, providing high quality and safe to consume meals, and obliging delivery entities to deliver food carefully, scrupulously following the deli...
Gamification system for eco-driving: Enhancing driver motivation and fuel savin...
Cale, D.; Franco, A.; Ferreira, J. C.; Rocha, J.Implementing a gamification system aims to motivate drivers to adopt eco-friendly driving behaviors and subsequently achieve fuel savings. The growing concern for environmental sustainability and the imperative to reduce carbon emissions from vehicular activities have led to increased interest in eco-driving practices. Gamification, which leverages elements from game design in non-game contexts, offers a promis...
Wildfire detection with deep learning—A case study for the CICLOPE project
Gonçalves, A. M.; Brandão, T.; Ferreira, J. C.In recent years, Portugal has seen wide variability in wildfire damage associated to high unpredictability of climatic events such as severe heatwaves and drier summers. Therefore, timely and accurate detection of forest and rural wildfires is of great importance for successful fire containment and suppression efforts, as wildfires exponentially increase their spread rate from the moment of ignition. In the fie...
Deep learning for automatic calcium detection in echocardiography
Elvas, L. B.; Gomes, S.; Ferreira, J. C.; Rosário, L. B.; Brandão, T.Cardiovascular diseases are the main cause of death in the world and cardiovascular imaging techniques are the mainstay of noninvasive diagnosis. Aortic stenosis is a lethal cardiac disease preceded by aortic valve calcification for several years. Data-driven tools developed with Deep Learning (DL) algorithms can process and categorize medical images data, providing fast diagnoses with considered reliability, t...
Automatic transcription system for parliamentary debates in the context of asse...
Nascimento, P.; Ferreira, J. C.; Batista, F.The transcription of parliamentary proceedings is essential for democratic governance. Traditional methods are manual and time-consuming. This work introduces an Automatic Transcription System for the Assembly of the Republic of Portugal (STAAR) that uses an automatic speech recognition model and speaker diarization technologies. STAAR was developed after analyzing existing technologies and the Assembly’s speci...
AI-driven decision support for early detection of cardiac events: Unveiling pat...
Elvas, L. B.; Nunes, M.; Ferreira, J. C.; Dias, M. S.; Rosário, L. B.Cardiovascular diseases (CVDs) account for a significant portion of global mortality, emphasizing the need for effective strategies. This study focuses on myocardial infarction, pulmonary thromboembolism, and aortic stenosis, aiming to empower medical practitioners with tools for informed decision making and timely interventions. Drawing from data at Hospital Santa Maria, our approach combines exploratory data ...
Universal data warehouse management system research proposal
Domingues, N. S.; Ferreira, J. C.; Gago, M. N.The author proposes research on the creation of a Data Warehouse Management System (involving all its domains: logical and conceptual data model and language, user interface, software and hardware) that is more flexible than current alternatives in adapting to changes in business requirements, while still improving value to the user.