Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Publications

2025

Frontiers of the Past in the Digital World: Multidisciplinary Collaboration in the 3D Reconstitution of Medieval Border Towns

Authors
Lacet, D; Cuesta-Gómez, F; Prata, S; Trindade, L; da Silva, GM; Costa, A; Van Zeller, M; Morgado, L; Coelho, A; Alves, T; Filipe, J;

Publication
2025 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW

Abstract
The virtual reconstitution of Castelo de Vide, Portugal, within the FRONTOWNS project, highlights the challenges and successes of multidisciplinary collaboration in heritage preservation through 3D modeling. The goal was to reconstruct the town's urban evolution, focusing on its role as a border settlement from the 13th to 16th centuries. The project combined archaeological evidence, historical sources, and digital technologies like photogrammetry and 3D scanning. Co -creation workshops aligned diverse knowledge, leading to creative solutions that balanced historical accuracy and technical feasibility. Despite budget constraints, it produced a high-quality digital reconstitution with insights for future virtual heritage projects.

2025

Autonomous Vision-Aided UAV Positioning for Obstacle-Aware Wireless Connectivity

Authors
Shafafi, K; Ricardo, M; Campos, R;

Publication
CoRR

Abstract

2025

P083 ASSESSING FUNCTIONAL THALAMO-CORTICAL CONNECTIVITY IN ADULTS WITH FRONTAL AND TEMPORAL LOBE EPILEPSY

Authors
Dias, AM; Cunha, JP; Mehrkens, J; Kaufmann, E;

Publication
Neuromodulation: Technology at the Neural Interface

Abstract

2025

MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models

Authors
Inácio, R; Cerqueira, V; Barandas, M; Soares, C;

Publication
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X

Abstract

2025

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks

Authors
Shafafi, K; Abdellatif, AA; Ricardo, M; Campos, R;

Publication
CoRR

Abstract

2025

PEL: Population-Enhanced Learning Classification for ECG Signal Analysis

Authors
Pourvahab, M; Mousavirad, SJ; Lashgari, F; Monteiro, A; Shafafi, K; Felizardo, V; Pais, S;

Publication
Studies in Computational Intelligence

Abstract
In the study, a new method for analyzing Electrocardiogram (ECG) signals is suggested, which is vital for detecting and treating heart diseases. The technique focuses on improving ECG signal classification, particularly in identifying different heart conditions like arrhythmias and myocardial infarctions. An enhanced version of the differential evolution (DE) algorithm integrated with neural networks is leveraged to classify these signals effectively. The process starts with preprocessing and extracting key features from ECG signals. These features are then processed by a multi-layer perceptron (MLP), a common neural network for ECG analysis. However, traditional MLP training methods have limitations, such as getting trapped in suboptimal solutions. To overcome this, an advanced DE algorithm is used, incorporating a partition-based strategy, opposition-based learning, and local search mechanisms. This improved DE algorithm optimizes the MLP by fine-tuning its weights and biases, using them as starting points for further refinement by the Gradient Descent with Momentum (GDM) local search algorithm. Extensive experiments demonstrate that this novel training approach yields better results than the traditional method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

  • 37
  • 4400