International Conference on Pattern Recognition 2026

Mateus Souza, Fabio A. Faria, + 1 authors, Mauricio P. Segundo — 2026

The proliferation of deep learning solutions and the scarcity of large annotated datasets pose significant challenges in real-world appli- cations. Various strategies have been explored to overcome this challenge, with data augmentation (DA) approaches emerging as prominent solu- tions. DA approache…

International Conference on Pattern Recognition 2026

Hugo Resende, Eduardo B. Neto, + 2 authors, Fabio A. Faria — 2026

Citizen science (CS) campaigns based on crowdsourcing pro- vide scalable labeled data for applications such as environmental moni- toring, but volunteer-generated annotations often suffer from noise and inconsistencies. Prior work has proposed statistical filtering techniques, including outlier dete…

Coordination Chemistry Reviews

Brij Mohan, Virender Virender, + 4 authors, Xuemei Yang — 2026

IEEE Transactions on Applied Superconductivity

Pedro P. C. Bhagubai, Luís F. D. Bucho, + 2 authors, P. J. Costa Branco — 2026

Microchemical Journal

Zejun Zhang, Lisi Wang, + 4 authors, Wei Sun — 2026

2026 European Control Conference

Nunes, António, Brás, Sérgio, + 1 authors, Corresponding author: Nunes, António. — 2026

Ecological Modelling

Nuno Fachada, Daniel Fernandes, + 1 authors, João P. Matos-Carvalho — 2026 — Elsevier

Large language models (LLMs) can now synthesize non-trivial executable code from textual descriptions, raising an important question: can LLMs reliably implement agent-based models from standardized specifications in a way that supports replication, verification, and validation? We address this ques…

Separation and Purification Technology

Ismayil Garazade, Brij Mohan — 2026

Reliability Engineering & System Safety

Kong, Xiangyu , Huang, Ruishu , + 4 authors, Wang, Jin — 2026 — Elsevier

A predictive risk analysis approach is proposed for modelling leakage accidents with dynamic behaviour based on time-series simulations in order to enhance data foundation of risk analysis tasks. Critical failure items are first identified by the Failure Mode and Effects Analysis model and the occur…

PT BIM 2026

Maria Teresa Ferreira , António Aguiar Costa , José Dinis Silvestre — 2026

O sector da arquitetura, engenharia e construção (AEC) é responsável por 35% das emissões de gases com efeito de estufa. A avaliação do ciclo de vida (ACV) é um método reconhecido para avaliação dos impactes ambientais ao longo do ciclo de vida de um produto, material, sistema, ou do edificado. A in…