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Mostrando ítems 1-20 de 1859

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    • 1484 Evaluating local failure in lung cancer post-SBRT: the role of SUVmax 

      Pagola, María; Urien, Josune; Ortiz de Urbina, David; Minguez, Julian; Iceta, Usoa; Garcia Sáenz de Urturi, Eva; De Paula, Belen; Goñi, Alai; Bultó, Nuria; Blanco, Carlos; Guimón, Elena (Elsevier, 2024)
    • 2243 Fractal dimension and lacunarity as predictive radiomic features for relapse in pulmonary nodules 

      Pagola, Maria; Urien, Josune; Saenz de Urturi, Eva; Goñi, Alai; De Paula, Belen (Elsevier, 2025)
      Radiomic features such as fractal dimension and lacunarity have shown promising results in tumor analysis, characterizing the structural complexity and internal heterogeneity of pulmonary nodules in CT images. However, ...
    • 3D Bioprinted Hydroxyapatite or Graphene Oxide Containing Nanocellulose-Based Scaffolds for Bone Regeneration 

      Zabala, Alaitz (Wiley, 2022)
      Bone tissue is usually damaged after big traumas, tumors, and increasing aging-related diseases such as osteoporosis and osteoarthritis. Current treatments are based on implanting grafts, which are shown to have several ...
    • 40 urtean euskal gizartean eragiten Irakasle eskola - Humanitate eta Hezkuntza Zientzien Fakultatea (HUHEZI) 

      Telleria, Iñigo Ramirez de Okariz (Mondragon Unibertsitatea. Humanitate eta Hezkuntza Zientzien Fakultatea, 2016)
      Eskuartean duzun liburu honetan argi ikus daitekeen bezala, 1976. urtean Hezibideren eskutik, Irakasle Eskola sortu zenetik gaur egunera arte oparoa izan da etxe honen emaria. Harrotasun eta poz handiz ikusiko dute gaur, ...
    • 50 kW Partial Power Converter for EV Charging 

      Anzola, Jon; Arruti Romero, Asier; Aizpuru, Iosu; Agirrezabala, Eneko; Mazuela, Mikel (IEEE, 2024)
      This paper presents the design and assembly of a 50 kW dual active bridge partial power converter. Due to the reduction in the power processed by the converter, the maximum power observed by the converter is set to 4.7 kW. ...
    • A combined machine learning and finite element modelling tool for the surgical planning of craniosynostosis correction 

      Antúnez Sáenz, Itxasne; Alberdi Aramendi, Ane; Dunaway, David|Ong, Juling; Deliège, Lara; Sáenz, Amparo; Ahmadi Birjandi, Anita; Jeelani, Noor UI Owase; Schievano, Silvia; Borghi, Alessandro (Plos, 2025)
    • A comprehensive analytical sizing methodology for transverse and radial flux machines 

      Egea Cáceres, Aritz Imanol Alejandro (IEEE, 2023)
      Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their ...
    • A comprehensive analytical sizing methodology for transverse and radial flux machines 

      Ballestin-Bernad, Victor; Egea Cáceres, Aritz Imanol Alejandro; Artal Sevil, Jesús Sergio; Domínguez-Navarro, José Antonio (IEEE, 2023)
    • A comprehensive experimental investigation of the rate-dependent interlaminar delamination behaviour of CFRP composites 

      Erice, Borja (Elsevier, 2023)
      The paper presents a systematic experimental study of the interlaminar delamination behaviour of a carbon composite subjected to Mode I, Mode II and Mixed-mode delamination at both quasi-static (QS) and high-rate (HR) ...
    • A Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steels 

      Saez de Buruaga, Mikel; Esnaola, Jon Ander; Aristimuño, Patxi Xabier; Soler Mallol, Daniel; ARRAZOLA, PEDRO JOSE (Elsevier B.V., 2017)
      A coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case ...
    • A cradle-to-cradle life cycle assessment framework linking machining parameters, tool life and part durability 

      Rodríguez Bogajo, Iñigo; Arrazola Arriola, Pedro José; Mori, M.; Ortiz de Zarate Bengoa, Gorka; Madariaga Zabala, Aitor; Cuesta Zabaljauregui, Mikel (Elsevier, 2026)
    • A Health Monitoring Framework for Thermal Degradation Mitigation in Solar Power Plants 

      Sanchez-Pozo, Nadia N.; Olaizola Alberdi, Jon; Vanem, Erik; Aizpurua, Jose I. (Prognostics and Health Management Society, 2025)
    • A hybrid 1D-CFD numerical framework for the thermofluidic assessment and design of PEM fuel cell and electrolysers 

      Berasategui Arostegui, Joanes; Peñalba Retes, Markel; Blanco Aguilera, Ricardo; Martínez Aguirre, Manex; Bou-Ali Saidi, M. Mounir; Shevtsova, Valentina (Elsevier, 2024)
    • A Modular and Scalable Approach to Hybrid Battery and Converter Integration for Full-Electric Waterborne Transport 

      López Erauskin, Ramón; Alacano Loiti, Argiñe; Lizeaga Goikoetxea, Aitor; Guidi, Giuseppe; Mo, Olve; Lopez de Heredia, Amaia; Alzuri, Mikel (MDPI, 2025)
    • A navigation algorithm based on the reinforcement learning reward system and optimised with genetic algorithm 

      Cabezas Olivenza, Mireya; Zulueta Guerrero, Ekaitz; Azurmendi Marquínez, Iker; Fernández-Gamiz, Unai; Rico Melgosa, Danel (MDPI, 2024)
    • A new Al80Mg10Si5Cu5 multicomponent aluminium alloy: Microstructure, mechanical, and physical properties 

      Villanueva, Ester; Vicario, Iban; Crespo, Ignacio; Guraya, Teresa; Hurtado Hurtado, José Ignacio; Albizuri, Joseba (Elsevier, 2025)
    • A novel computational approach using receptance coupling substructure analysis for prediction of tool tip dynamics in industrial machining applications 

      Chaux Sanchez, Jesus David; Aristimuño Osoro, Patxi Xabier; Arrazola Arriola, Pedro José (Elsevier, 2025)
    • A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling 

      RODRIGUEZ-FLOREZ, NAIARA (PLOS, 2018)
      Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the response of the soft tissue to the ...
    • A predictive model for burr formation in ultrafast laser ablation based on accumulated fluence 

      Guinea Chasco, Ainhoa; Aginagalde Lopez, Andrea; Mendiguren Olaeta, Joseba; Sáenz de Argandoña Fernández de Gorostiza, Eneko; Ayerdi Gomez, Aitor; Tato Vega, Wilson; Zabala Eguren, Alaitz (Elsevier, 2025)
    • A probabilistic risk assessment framework for the impact assessment of extreme events on renewable power plant components 

      Sánchez Pozo, Nadia Nathaly; Vanem, Erik; Bloomfield, Hannah; Aizpurua Unanue, José Ignacio (Elsevier, 2025)

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