Suchergebnisse - "Martín Abadal, Miguel"

Efficient implementation of Deep Nets for video processing to preserve marine ecosystem services

Autoren: Martín Abadal, Miguel

Weitere Verfasser: University/Department: Universitat de les Illes Balears. Doctorat en Tecnologies de la Informació i les Comunicacions

Thesis Advisors: González Cid, Yolanda

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Intel·ligència artificial, Aprenentatge profund, Ecosistemes marins, Serveis ecosistèmics, Implementació eficient, Xarxes neuronal convolucionals, Visió per computador

Time: 621.3

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/688416

Automatic deep learning-based pipeline for Mediterranean fish segmentation

Autoren: Muntaner-Gonzalez, Caterina Nadal-Martínez, Antonio Martin-Abadal, Miguel et al.

Weitere Verfasser: Muntaner-Gonzalez, Caterina Nadal-Martínez, Antonio Martin-Abadal, Miguel et al.

Quelle: Frontiers in Marine Science ; volume 12 ; ISSN 2296-7745

Verfügbarkeit: https://doi.org/10.3389/fmars.2025.1525524
https://www.frontiersin.org/articles/10.3389/fmars.2025.1525524/full

Exploring deep waters: preliminary findings and design insights from a stereo vision unit deployment

Autoren: Muntaner González, Caterina Alfaro Dufour, Eric Nadal Martínez, Antonio et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Image processing, Fishes, Benthic lander, Vehicles submergibles remots, Stereo vision system, Underwater, Imatges -- Processament, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo, Remote submersibles

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2117/411152

Measuring the temporal evolution of seagrass Posidonia oceanica coverage using autonomous marine robots and Deep Learning

Autoren: Bonin-Font, Francisco Martorell-Torres, Antoni Martín-Abadal, Miguel et al.

Weitere Verfasser: Bonin-Font, Francisco Martorell-Torres, Antoni Martín-Abadal, Miguel et al.

Schlagwörter: Posidonia oceanica, Autonomous Underwater Vehicles, Inter-annual inspection

Relation: The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.ecss.2024.109029; https://doi.org/10.1016/j.ecss.2024.109029; Sí; Estuarine, Coastal and Shelf Science 312: 109029 (2025); https://hdl.handle.net/10261/396735; https://api.elsevier.com/content/abstract/scopus_id/85209656632

Verfügbarkeit: https://hdl.handle.net/10261/396735
https://doi.org/10.1016/j.ecss.2024.109029
https://api.elsevier.com/content/abstract/scopus_id/85209656632

Optimizing Submarine Photo Mosaicking by Filtering Redundant Images*

Autoren: Bonin-Font, Francisco Castelló, Pol Baños Martín-Abadal, Miguel et al.

Weitere Verfasser: Bonin-Font, Francisco Castelló, Pol Baños Martín-Abadal, Miguel et al.

Quelle: OCEANS 2025 Brest ; page 1-10

Verfügbarkeit: https://doi.org/10.1109/oceans58557.2025.11104532
http://xplorestaging.ieee.org/ielx8/11104210/11104257/11104532.pdf?arnumber=11104532

Corrigendum to: The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform

Autoren: Ruiz-Frau, Ana Martín-Abadal, Miguel Jennings, Charlotte L. et al.

Weitere Verfasser: Ruiz-Frau, Ana Martín-Abadal, Miguel Jennings, Charlotte L. et al.

Quelle: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10261/296139

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoren: Vidaurre-Gallart, Isabel Fernaud-Espinosa, Isabel Cosmin-Toader, Nicusor et al.

Schlagwörter: Automatic 3D image segmentation, artificial neural network, confocal microscopy, reconstruction algorithms, pyramidal cells

Relation: https://hdl.handle.net/10115/20628

Verfügbarkeit: https://hdl.handle.net/10115/20628
https://doi.org/10.3389/fnana.2022.817903

The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform

Autoren: Ruiz‐Frau, Ana Martin‐Abadal, Miguel Jennings, Charlotte L. et al.

Weitere Verfasser: Ruiz‐Frau, Ana Martin‐Abadal, Miguel Jennings, Charlotte L. et al.

Quelle: Ecology and Evolution ; volume 12, issue 11 ; ISSN 2045-7758 2045-7758

Verfügbarkeit: https://doi.org/10.1002/ece3.9472
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.9472
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.9472

Towards Underwater Robust Image Transmission Using Acoustic Communications

Autoren: Muntaner, Caterina Nordfeldt-Fiol, Bo Miquel Martin-Abadal, Miguel et al.

Schlagwörter: acoustic underwater data transmission, image compression, object detection, underwater autonomous robots

Dateibeschreibung: 8 p.

Relation: ERDF A way of making Europe; https://hdl.handle.net/10234/207826

Verfügbarkeit: https://hdl.handle.net/10234/207826
https://doi.org/10.1109/OCEANSLimerick52467.2023.10244660

Automatic deep learning-based pipeline for Mediterranean fish segmentation

Autoren: Muntaner, Caterina orcid:0009-0003-9091- Nadal-Martínez, Antonio et al.

Relation: https://zenodo.org/records/13120727; oai:zenodo.org:13120727; https://doi.org/10.5281/zenodo.13120727

Verfügbarkeit: https://doi.org/10.5281/zenodo.13120727
https://zenodo.org/records/13120727

Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows Identification

Autoren: Martin-Abadal, Miguel Guerrero-Font, Eric Bonin-Font, Francisco et al.

Weitere Verfasser: Martin-Abadal, Miguel Guerrero-Font, Eric Bonin-Font, Francisco et al.

Quelle: IEEE Access ; volume 6, page 60956-60967 ; ISSN 2169-3536

Verfügbarkeit: https://doi.org/10.1109/access.2018.2875412
http://xplorestaging.ieee.org/ielx7/6287639/8274985/08489861.pdf?arnumber=8489861

The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform

Autoren: Ruiz-Frau, Ana Martín-Abadal, Miguel Jennings, Charlotte L. et al.

Weitere Verfasser: Ruiz-Frau, Ana Martín-Abadal, Miguel Jennings, Charlotte L. et al.

Schlagwörter: Artificial intelligence AI, Automatic detection, envir, geo

Relation: http://hdl.handle.net/10261/296127

Verfügbarkeit: http://hdl.handle.net/10261/296127

The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform

Autoren: European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) et al.

Index Begriffe: Artificial intelligence, Automatic detection, artículo

URL: http://hdl.handle.net/10261/296127
Publisher's version
Ruiz-Frau, Ana; Martín-Abadal, Miguel; Jennings, Charlotte L.; González-Cid, Yolanda; Hinz, Hilmar. The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform. https://doi.org/10.1002/ece3.9575. http://hdl.handle.net/10261/296139
http://dx.doi.org/10.1002/ece3.9472
Sí
info:eu-repo/grantAgreement/EC/H2020/655475
info:eu-repo/grantAgreement/AEI//IJC2019-040836-I
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-86372-C3-3-R/ES/METODOS SENSORIALES PARA LA MANIPULACION SUBMARINA MULTI-ROBOT
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115332RB-C33/ES/SENSORIZACION VISUAL PARA OPERACIONES CON MULTIPLES VEHICULOS AUTONOMOS SUBMARINOS
info:eu-repo/grantAgreement/AEI//PLEC2021-007525
info:eu-repo/grantAgreement/MINECO//RYC-2013-14729/ES/RYC-2013-14729

Corrigendum to: The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform

Autoren: Ruiz-Frau, Ana Martín-Abadal, Miguel Jennings, Charlotte L. et al.

Index Begriffe: corrigenda

URL: http://hdl.handle.net/10261/296139
https://doi.org/10.1002/ece3.9575
Publisher's version
Ruiz-Frau, Ana; Martín-Abadal, Miguel; Jennings, Charlotte L.; González-Cid, Yolanda; Hinz, Hilmar. The potential of Jellytoring 2.0 smart tool as a global jellyfish monitoring platform. http://dx.doi.org/10.1002/ece3.9472. http://hdl.handle.net/10261/296127
https://doi.org/10.1002/ece3.9575
Sí

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

Autoren: Ministerio de Ciencia e Innovación (España) European Commission Vidaurre-Gallart, I. et al.

Index Begriffe: Artificial neural networks, automatic 3D image segmentation, Confocal microscopy, pyramidal cells, reconstruction algorithms, artículo

URL: http://hdl.handle.net/10261/277503
Publisher's version
http://dx.doi.org/10.3389/fnana.2022.817903
Sí
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-83132-C2-1-R/ES/VISUALIZACION ANALITICA APLICADA
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113013RB-C21/ES/TECNICAS TRANSVERSALES PARA LA VISUALIZACION Y ANALISIS DE DATOS COMPLEJOS Y MULTIMODALES
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85572-P/ES/CADENA COMPLETA DE PROCESAMIENTO MULTI-IMAGEN Y VIDEO
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-86372-C3-3-R/ES/METODOS SENSORIALES PARA LA MANIPULACION SUBMARINA MULTI-ROBOT

Sparse Gaussian process for online seagrass semantic mapping

Autoren: Guerrero-Font, Eric Bonin-Font, Francisco Martin-Abadal, Miguel et al.

Weitere Verfasser: Guerrero-Font, Eric Bonin-Font, Francisco Martin-Abadal, Miguel et al.

Quelle: Expert Systems with Applications ; volume 170, page 114478 ; ISSN 0957-4174

Verfügbarkeit: http://dx.doi.org/10.1016/j.eswa.2020.114478
https://api.elsevier.com/content/article/PII:S095741742031126X?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S095741742031126X?httpAccept=text/plain

The Application of Deep Learning in Marine Sciences

Autoren: Martin-Abadal, Miguel Ruiz-Frau, Ana Hinz, Hilmar et al.

Quelle: Deep Learning: Algorithms and Applications ; Studies in Computational Intelligence ; page 193-230 ; ISSN 1860-949X 1860-9503 ; ISBN 9783030317591 9783030317607

Verfügbarkeit: http://dx.doi.org/10.1007/978-3-030-31760-7_7
http://link.springer.com/content/pdf/10.1007/978-3-030-31760-7_7

A deep learning solution for Posidonia oceanica seafloor habitat multiclass recognition

Autoren: Martin-Abadal, Miguel Riutort-Ozcariz, Ivan Oliver-Codina, Gabriel et al.

Quelle: OCEANS 2019 - Marseille ; page 1-7

Verfügbarkeit: https://doi.org/10.1109/oceanse.2019.8867304
http://xplorestaging.ieee.org/ielx7/8846157/8866872/08867304.pdf?arnumber=8867304

Jellytoring: Real-Time Jellyfish Monitoring Based on Deep Learning Object Detection

Autoren: Martín-Abadal, Miguel Ruiz, Ana Hinz, Hilmar et al.

Weitere Verfasser: Martín-Abadal, Miguel Ruiz, Ana Hinz, Hilmar et al.

Schlagwörter: Deep learning, Object detection, Jellyfish quantification, Jellyfish monitoring, envir, geo

Relation: http://hdl.handle.net/10261/223605

Verfügbarkeit: http://hdl.handle.net/10261/223605

Jellytoring: Real-Time Jellyfish Monitoring Based on Deep Learning Object Detection

Autoren: Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) et al.

Index Begriffe: Deep learning, Object detection, Jellyfish quantification, Jellyfish monitoring, artículo

URL: http://hdl.handle.net/10261/223605
https://doi.org/10.3390/s20061708
Publisher's version
https://doi.org/10.3390/s20061708
Sí
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/DPI2017-86372-C3-3-R
DPI2017-86372-C3-3-R/AEI/10.13039/501100011033
info:eu-repo/grantAgreement/EC/H2020/655475
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2013-14729
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TIN2017-85572-P
TIN2017-85572-P/AEI/10.13039/501100011033
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/DPI2017-86372-C3-1-R
DPI2017-86372-C3-1-R/AEI/10.13039/501100011033