22 documents found, page 1 of 3
A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogen...
Abbasi, Maryam; Cardoso, Filipe; Vaz, Paulo; Silva, José; Martins, PedroThe emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). This vulnerability has catalyzed accelerated standardization efforts for post-quantum cryptography (PQC) by the U.S. National Institute of Standards and Technology (NIST) an...
Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchma...
Martins, Pedro; Cardoso, Filipe; Vaz, Paulo; Silva, José; Abbasi, MaryamData cleaning remains one of the most time-consuming and critical steps in modern data science, directly influencing the reliability and accuracy of downstream analytics. In this paper, we present a comprehensive evaluation of five widely used data cleaning tools—OpenRefine, Dedupe, Great Expectations, TidyData (PyJanitor), and a baseline Pandas pipeline—applied to large-scale, messy datasets spanning three dom...
Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feat...
Abbasi, Maryam; Vaz, Paulo; Silva, José; Martins, Pedro; Silva, José; ANTUNES VAZ, PAULO JOAQUIMThe efficient prediction of corn biomass yield is critical for optimizing crop production and addressing global challenges in sustainable agriculture and renewable energy. This study employs advanced machine learning techniques, including Gradient Boosting Machines (GBMs), Random Forests (RFs), Support Vector Machines (SVMs), and Artificial Neural Networks (ANNs), integrated with comprehensive environmental, so...
Adaptive and Scalable Database Management with Machine Learning Integration: A ...
Abbasi, Maryam; Bernardo, Marco V.; Vaz, Paulo; Silva, José; Martins, Pedro; ANTUNES VAZ, PAULO JOAQUIM; Silva, JoséThe increasing complexity of managing modern database systems, particularly in terms of optimizing query performance for large datasets, presents significant challenges that traditional methods often fail to address. This paper proposes a comprehensive framework for integrating advanced machine learning (ML) models within the architecture of a database management system (DBMS), with a specific focus on PostgreS...
Data Privacy and Ethical Considerations in Database Management
Pina, Eduardo; Ramos, José; Jorge, Henrique; ANTUNES VAZ, PAULO JOAQUIM; Vaz, Paulo; Silva, José; Wanzeller, Cristina; Abbasi, Maryam; Martins, PedroData privacy and ethical considerations ensure the security of databases by respecting individual rights while upholding ethical considerations when collecting, managing, and using information. Nowadays, despite having regulations that help to protect citizens and organizations, we have been presented with thousands of instances of data breaches, unauthorized access, and misuse of data related to such individua...
Aplicação da metodologia DMAIC numa empresa produtora de componentes em borracha
Almeida, Ricardo; Vaz, Paulo; Silva, RosaIntrodução: Nas últimas décadas, foram feitos grandes desenvolvimentos na indústria. As empresas aprimoraram-se para fazer o produto final com mais qualidade e com grande redução de custos. As metodologias Lean foram implementadas em todos os tipos de indústrias e negócios, rompendo com o tipo de produção que se praticava na época, que se baseava em grandes volumes e pouco flexíveis. As metodologias Lean começa...
Reinventing the Portuguese knitwear industry: the case of Pedrosa & Rodrigues p...
Guedes, Graça; Vaz, PauloDuring the first decade of this century, the Portuguese knitwear industry, and textile cluster, were strongly affected by globalisation and seemed destined to decline. The Portuguese knitwear industry developed for decades a business model based on price as the main competitive factor, and that model was no longer able to support competitiveness against low wages countries. Portuguese knitwear industry made a d...
An integrated and interoperable AutomationML-based platform for the robotic pro...
Babcinschi, Mihail; Freire, Bernardo; Ferreira, Lúcia; Señaris, Baltasar; Vidal, Felix; Vaz, Paulo; Neto, PedroIncreasingly, industry is looking to better integrate their industrial processes and related data. Interoperability is key since the organizations need to share data between them, between departments and the different stages of a given technological process. The problem is that many times there are no standard data formats for data exchange between heterogeneous engineering tools. In this paper we present an in...
“Gorda, sim! Maravilhosa, também!”: Corpo, desejo e autenticidade em testemunho...
Vaz, Paulo; Sanchotene, Nicole; Santos, AmandaEste trabalho propõe analisar quais as condições e implicações da consolidação da gordofobia como uma pauta social contemporânea. Como suporte empírico, foram escolhidos três canais no YouTube de mulheres que narram suas experiências como vítimas de gordofobia. A partir dos vídeos, o artigo propõe pensar o corpo gordo como uma forma de identidade num contexto social que reverencia tanto a magreza quanto a auten...
Smart Panel: Medição, Controlo e Monitorização num Clique
Carvalho, Luís; Vaz, PauloNa sociedade atual, a preocupação com o ambiente, por um lado, e com o conforto e a segurança, por outro, faz com que a sustentabilidade energética se assuma como uma forma de intervenção adequada às exigências de qualidade de vida e à eficiência no âmbito da economia. Nesta conformidade, é incontornável a mais-valia do Smart Panel, um quadro elétrico inteligente criado pela Schneider-Electric com vista à conse...