Výsledky vyhledávání - "Jesus Martinez Del Rincon"

Akademický článek

Vehicle Damage Severity Estimation for Insurance Operations Using In-The-Wild Mobile Images

Autor: Dimitrios Mallios, Li Xiaofei, Niall McLaughlin, Jesus Martinez Del Rincon, Clare Galbraith, Rory Garland

Publikováno v: IEEE Access, Vol 11, Pp 78644-78655 (2023)

Following a car accident, an insurance company must assess the level of damage to each vehicle to decide on the compensation paid to the insurance customer. This assessment is usually performed by manual inspection, which is costly and time-consuming

Externí odkaz: https://doaj.org/article/87b59058090841b2a0819b32022830e9

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Akademický článek

EMG Biometric Systems Based on Different Wrist-Hand Movements

Autor: Sumit A. Raurale, John McAllister, Jesus Martinez Del Rincon

Publikováno v: IEEE Access, Vol 9, Pp 12256-12266 (2021)

Electromyogram (EMG) acquisition and analysis is growing in importance with human attempts to interact with and control equipment such as robots, prostheses or virtual environments. In some cases, only approved users should be permitted these capabil

Externí odkaz: https://doaj.org/article/21c91aeffd864c7682bfbf68c123a3f4

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Akademický článek

Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression

Autor: Katerine Diaz-Chito, Jesus Martinez Del Rincon, Aura Hernandez-Sabate, Debora Gil

Publikováno v: IEEE Access, Vol 6, Pp 18325-18334 (2018)

In this paper, a continuous head pose estimation system is proposed to estimate yaw and pitch head angles from raw facial images. Our approach is based on manifold learning-based methods, due to their promising generalization properties shown for fac

Externí odkaz: https://doaj.org/article/778cfa699f4c4f31983da000d917f99f

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Akademický článek

Measuring Structural Deformations in the Laboratory Environment Using Smartphones

Autor: Rolands Kromanis, Yan Xu, Darragh Lydon, Jesus Martinez del Rincon, Amin Al-Habaibeh

Publikováno v: Frontiers in Built Environment, Vol 5 (2019)

The engineering education and research sectors are interlinked, and there exists a need within both for readily deployable low-cost systems. Smartphones are affordable and easy to use technology available to almost everyone. Images or video frames ta

Externí odkaz: https://doaj.org/article/81e2d5953d604524928f38266beba271

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Akademický článek

Effective identification of distributed energy resources using smart meter net‐demand data

Autor: Andres F. Moreno Jaramillo, Javier Lopez‐Lorente, David M. Laverty, Jesus Martinez‐del‐Rincon, D. John Morrow, Aoife M. Foley

Publikováno v: IET Smart Grid, Vol 5, Iss 2, Pp 120-135 (2022)

Abstract International policies and targets to globally reduce carbon dioxide emissions have contributed to increasing penetration of distributed energy resources (DER) in low‐voltage distribution networks. The growth of technologies such as roofto

Externí odkaz: https://doaj.org/article/26b709e6cce54f419a2b3741e023f2ba

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Convolutional neural network for software vulnerability detection

Autor: Kaixi Yang, Paul Miller, Jesus Martinez-Del-Rincon

Publikováno v: Yang, K, Miller, P & Martinez-del-Rincon, J 2023, Convolutional neural network for software vulnerability detection . in M Lang & S Dowling (eds), Proceedings of the 1st Cyber Research Conference Ireland, Cyber-RCI 2022 . Institute of Electrical and Electronics Engineers Inc., 1st Cyber Research Conference Ireland, Galway, Ireland, 25/04/2022 . https://doi.org/10.1109/Cyber-RCI55324.2022.10032684

Exploitable vulnerabilities in software are one of the root causes of cybercrime, leading to financial losses, reputational damage, and wider security breaches for both enterprise and consumers. Furthermore, checking for vulnerabilities in software i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6f83ed2063ae69a3308395db2f8517
https://pure.qub.ac.uk/en/publications/97a2c635-a73c-40a3-9bd5-a19e491d5dc0

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Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks

Autor: Jesus Martinez del Rincon, David Laverty, D. John Morrow, Aoife Foley, Andres F. Moreno Jaramillo

Publikováno v: Moreno Jaramillo, A F, Laverty, D M, Morrow, D J, Martinez del Rincon, J & Foley, A M 2021, ' Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks ', Renewable Energy, vol. 179, pp. 445-466 . https://doi.org/10.1016/j.renene.2021.07.056

In many countries distributed energy resources (DER) (e.g. photovoltaics, batteries, wind turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic appliances) are part of the ‘Green Deal’ to deliver a climate ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a86a65a7d2258f1bb4f9cc115603155
https://doi.org/10.1016/j.renene.2021.07.056

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Closing the domain gap for cross-modal visible-infrared vehicle re-identification

Autor: Eleni Kamenou, Jesus Martinez del Rincon, Paul Miller, Patricia Devlin-Hill

Publikováno v: Kamenou, E, Martinez del Rincon, J, Miller, P & Devlin-Hill, P 2022, Closing the domain gap for cross-modal visible-infrared vehicle re-identification . in Proceedings of the 26th International Conference on Pattern Recognition . International Conference on Pattern Recognition (ICPR), Institute of Electrical and Electronics Engineers Inc., pp. 2728-2734, International Conference on Pattern Recognition, Montreal, Quebec, Canada, 21/08/2022 . https://doi.org/10.1109/ICPR56361.2022.9956381

Traditional vehicle re-identification (ReID) approaches, based on visible spectrum data achieve high performance, but have limited capability of real-life applications, as they perform poorly under occluded visibility conditions, such as night-time a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7068481984529bba0ca7ffcfdbff6c5
https://pure.qub.ac.uk/en/publications/0b45ebdc-091d-4760-88c5-1c91f13c38f7

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Impact assessment of nilm methods for an enhanced observability of low voltage distribution networks

Autor: Andres F Moreno Jaramillo, Javier Lopez-Lorente, Paul Brogan, David Laverty, Jesus Martinez del Rincon, Aoife Foley

Publikováno v: Moreno Jaramillo, A F, Lopez-Lorente, J, Brogan, P, Laverty, D, Martinez-del-Rincon, J & Foley, A 2022, Impact assessment of nilm methods for an enhanced observability of low voltage distribution networks . in Proceedings of the ISC2 2022 . IEEE International Smart Cities Conference (ISC2): Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE International Smart Cities Conference, Paphos, Cyprus, 26/09/2022 . https://doi.org/10.1109/ISC255366.2022.9922230

The migration to low-carbon technologies in secondary (low-voltage) distribution networks relies on high integration of distributed energy resources (DER), including distributed generation and low-carbon loads. The electrification of power and transp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52a7e03e9b29a6f261db092f170a8785
https://pure.qub.ac.uk/en/publications/54bbe059-0b15-45ec-b672-528049a8f666

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