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La Universitat Politècnica de Catalunya. Barcelona Tech (UPC) és una institució pública de recerca i d'educació superior en els àmbits de l'enginyeria, l'arquitectura i les ciències.

L’activitat dels seus campus i centres fan de la UPC un punt de referència i, en complicitat amb el teixit productiu, són agent i motor de canvi econòmic i social.

Els investigadors i investigadores de la UPC treballen des dels laboratoris i centres de recerca per augmentar la producció científica, valoritzar-la socialment a través de la transferència de resultats i continuar liderant projectes internacionals d’excel·lència, ja sigui a partir d’iniciatives pròpies o en col·laboració amb altres centres de recerca i universitats d’arreu del món.

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Portal de la Producció Científica de la UPC


Si sou autor/a d’algun document elaborat en l’àmbit de la Universitat Politècnica de Catalunya i voleu publicar-lo a RECERCAT, contacteu amb info.biblioteques@upc.edu.

Recent Submissions

Llista ítems afegits recenment

Gaining knowledge of overtopping risk for urbanized coastal areas. Data Management Plan 

Altomare, Corrado (Publication date: 2024-10-10)

The data produced during the execution of GLORIA project will be collected and gathered together in order to analysed using EPR (Evolutionary Polynomial Regression) to established optimized methodologies for experimental ...

Explaining organizational culture through innovation resistance pathways: an fsQCA approach 

Saka, Tugce Nuray; Acar Denizli, Nihan (Publication date: 2025)

This paper examines the configurations of personal concerns (e.g., self-interest, perceived risks) and organizational factors (e.g., hierarchical structure, internal trust) that affect how organizational culture is perceived ...

Reducing complexity in muscle-tendon kinematics parameterization improves convergence speed in musculoskeletal simulations 

Harba, Mohanad; Badia, Joan; Serrancolí, Gil (Publication date: 2026-02-23)

Musculoskeletal simulations play a crucial role in rehabilitation, orthopedic implant design and athletic performance enhancement. A computational challenge within these simulations involves efficiently estimating muscle-tendon ...

The M-matrix group inverse problem for star networks 

Carmona Mejías, Ángeles; Encinas Bachiller, Andrés Marcos; Patra, S.; Sivakumar, K. C. (Publication date: 2026-03-03)

We study the inverse problem for singular, irreducible, symmetric M-matrices that consists in characterizing those for which the group inverse is again an M-matrix. We solve the problem for a structured class of such ...

Spatially-aware NFV orchestration for dynamic LEO satellite management in 6G networks 

Ávila Acosta, José Luis; Rouzegar, Hossein; Calveras Augé, Anna M.; Ruiz De Azúa Ortega, Juan Adrián (Publication date: 2025)

The integration of Low Earth Orbit (LEO) satellite constellations into 6G networks offers unprecedented opportunities for global connectivity, particularly in underserved regions. However, these non-terrestrial networks ...

Edge-based missing value imputation for IoT platforms: Towards artificial intelligence of things 

Cioca, Alexandru; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Publication date: 2025)

Recently, the use of Internet of Things (IoT) technologies has been widely adopted, enabling large-scale monitoring and data acquisition. Together with the so-called artificial intelligence of things (AIoT), data-driven ...

Minimum stationary values of sparse random directed graphs 

Cai, Xing Shi; Perarnau Llobet, Guillem (Publication date: 2026-02-01)

We consider the stationary distribution of the simple random walk on the directed configuration model with bounded degrees. Provided that the minimum out-degree is at least 2, with high probability (whp) there is a unique ...

Multi-scale analysis of sintered 316 L-PLA/PEG components produced by metal fused granulate fabrication for automotive spare part applications 

Rezayat, Mohammad; Grande Molina, Miguel; Calvo Duarte, Laura; Serrano, Andrea; Garcia Montolio, Xavier; Calvo Muñoz, Jessica; Fenollosa i Artés, Felip (Publication date: 2026-02-18)

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance ...

A simplified solution to predict surface uplift induced by a point non-isothermal well leakage 

Vidal Montes, Rubén; De Simone, Silvia; Olivella Pastallé, Sebastià; Saaltink, Maarten Willem (Publication date: 2026-06)

In many geological, geothermal, and hydrocarbon engineering operations, fluids are typically injected at a temperature different from that of the surrounding subsurface formation. The pressurization resulting from injection ...

2D hydrogen-carrier liquid fuel: Graphene oxide electrochemically hydrogenated by copper porous catalysts in continuous flow cell conditions and its H2 recovery 

Domínguez Muñoz, Yago; Murcia López, Sebastián; Palardonio, Sidney; Martí-Sánchez, Sara; Arbiol, Jordi; Martorell Pena, Jordi; Morante, Joan Ramon; Ros Figueras, Carles; Carretero, Nina (Publication date: 2026-03-15)

Graphene-based materials have attracted considerable attention in the energy storage field due to their unique properties and the possibility of storing hydrogen. Graphene oxide (GO), reduced graphene oxide (rGO), or ...

PLA/PCL tubes filled with polysaccharide hydrogels as robust hybrid nerve guidance conduits with controlled swelling 

Hidalgo Yerga, Álvaro; Resina, Maria Leonor Matos; Casanovas Salas, Jordi; Alemán Llansó, Carlos; Pérez Madrigal, Maria del Mar (Publication date: 2026-02-24)

This is the peer reviewed version of the following article: Á.Hidalgo-Yerga, L.Resina, J.Casanovas, C.Alemán, and M. M.Pérez-Madrigal, “PLA/PCL Tubes Filled with Polysaccharide Hydrogels as Robust Hybrid Nerve Guidance ...

The impact of hyperparameters on large language model inference performance: An evaluation of vLLM and HuggingFace pipelines 

Martínez Martínez, Matías-Sebastián (Publication date: 2025)

Open-source large language models (LLMs) enable developers to create AI-based solutions while maintaining control over aspects such as privacy and compliance, thereby providing governance and ownership of the model deployment ...

Flood hazard assessment on wastewater treatment plants: a case study of the Metropolitan Area of Barcelona (Spain) 

Flor Tey, Guillem; Martínez Gomariz, Eduardo; Russo, Beniamino; Bosque Royo, Joaquín; Veza, Elena (Publication date: 2026-03)

Wastewater Treatment Plants (WWTPs) are often located in flood-prone areas, particularly those situated adjacent to rivers and streams. This specific location has been identified as a significant risk factor for recurrent ...

Speech-to-text translation with phoneme-augmented CoT: Enhancing cross-lingual transfer in low-resource scenarios 

Gallego Olsina, Gerard Ion; Pareras Velasco, Oriol; Cortada García, Martí; Sanchez Shiromizu, Lucas Takanori; Hernando Pericás, Francisco Javier (Publication date: 2025)

We propose a Speech-to-Text Translation (S2TT) approach that integrates phoneme representations into a Chainof-Thought (CoT) framework to improve translation in lowresource and zero-resource settings. By introducing phoneme ...

Observability analysis for structural system identification based on static-state estimation 

Alahmad, Ahmad; Mínguez, Roberto; Porras Soriano, Rocío; Lozano Galant, José Antonio; Turmo Coderque, José (Publication date: 2025-06-06)

The concept of observability analysis has garnered substantial attention in the field of structural system identification. Its primary aim is to identify a specific set of structural characteristics, such as Young’s modulus, ...

Investigating the translation capabilities of Large Language Models trained on parallel data only 

Garcia Gilabert, Javier; Escolano Peinado, Carlos; Sant Savall, Aleix; De Luca Fornaciari, Francesca; Mash, Audrey; Liao, Xixian; Melero Nogues, Maite (Publication date: 2025)

In recent years, Large Language Models (LLMs) have demonstrated exceptional proficiency across a broad spectrum of Natural Language Processing (NLP) tasks, including Machine Translation. However, previous methods predominantly ...

Evaluating coastal risk in heterogeneous exposure environments: the Salamanca Barrier (Colombia) 

Murillo Gómez, Nelson; Jiménez Quintana, José Antonio (Publication date: 2026-05)

Assessing multifaceted coastal risks across heterogeneous shorelines is critical for informed, long-term management. We present an index-based framework that integrates uniformly computed hazard metrics with spatially ...

Evaluation of biochar in cementitious pastes properties 

Cantarim Martins, Ana Carolina; Jochem, Lidiane Fernanda; Dors Sakata, Rafael; Querne de Carvalho, Karina; Hermes Passig, Fernando; Stivall Bittencourt, Paulo Rodrigo; Borges Lied, Eduardo; Barra Bizinotto, Marilda; Casagrande, Cézar Augusto (Publication date: 2026-03-01)

Biochar is an industrial byproduct that, after thermal treatment through pyrolysis, results in a material primarily composed of solid carbon. It has potential for use as a chemical regulator and as a carbon uptake to reduce ...

Unmasking biases: Exploring gender bias in English-Catalan machine translation through tokenization analysis and novel dataset 

Mash, Audrey; Escolano Peinado, Carlos; Sant Savall, Aleix; De Luca Fornaciari, Francesca; Melero Nogues, Maite (Publication date: 2024)

This paper presents a comprehensive evaluation of gender bias in English-Catalan machine translation, encompassing the creation of a novel language resource and an analysis of translation quality across four different ...

Refined segmentation of synchrotron XCT-based characterization of metal powders under different noise conditions 

Sajithkumar, Ananthakrishna; Chen, Yunhui; Pijuan Cases, Jordi; Arhatari, Benedicta; Stevenson, Andrew W.; Niubó Eslava, Maria; Easton, Mark (Publication date: 2026-04-01)

The characterization of metal powders is crucial for assessing their suitability in additive manufacturing applications. Synchrotron X-ray computed tomography provides high-resolution, three-dimensional data for evaluating ...

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