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694,228 Research products

  • Rural Digital Europe
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dimitri Belli; Paolo Barsocchi; Filippo Palumbo;

    Matter is an open-source, royalty-free connectivity standard developed by the Connectivity Standards Alliance (CSA-IoT). It aims to unify smart home devices and increase their compatibility across various ecosystems. Backed by major tech companies like Apple, Google, Amazon, and the Zigbee Alliance, Matter simplifies the development of IoT devices by providing a unified approach to connectivity. It offers a secure, reliable, and seamless way for devices to communicate and interact, regardless of the manufacturer. This paper aims to present the current state of adoption of the Matter specification by devices available on the market, and the certification process by the available software. It describes the main characteristics of Matter in its Specification 1.0 state, reviewing the features and functionalities of the Matter protocol, as well as the opportunities for its use and the challenges for its large-scale adoption in Matter-compliant IoT devices. We discuss the impact of Matter on IoT technologies and ecosystems, providing guidance for manufacturers and consumers. We analyze the emerging research challenges in its adoption and propose our recommendations on how to improve and extend this protocol for better use in the future.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
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    Article . 2023
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    Internet of Things
    Article . 2024 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ISTI Open Portal
    Article . 2023
    Data sources: ISTI Open Portal
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Internet of Things
      Article . 2024 . Peer-reviewed
      License: CC BY NC ND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ISTI Open Portal
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Duque Medina, Rafael; Bravo, Crescencio; Bringas Tejero, Santos; Postigo Díaz, Daniel;

    User interfaces for digital twins (DTs) should provide information that allows the user to be aware of the state of the physical entity that is virtualised. Typically, this real entity is a shared space in which various human and artificial agents interact (for instance, in smart cities, various citizens and vehicles interact; in manufacturing, operators and machinery cooperate in the production, etc.) and the user interface must provide information about its state. This work presents ADD (Awareness Description Diagrams) as a technique for modelling requirements of Human-DT interaction. A study was conducted in order to virtualise a natural space where groups of hikers carry out their activities. This study assesses the learning curve of ADD, its feasibility to model Human-DT requirements, and its utility to design user interfaces. The results of the study provide valuable insights into the effectiveness of the ADD technique. This work is funded in part by the Dirección General Universidades, Investigación e Innovación, Spain, Junta de Comunidades de CastillaLa Mancha, Spain, and the European Regional Development Fund (ERDF), grant number SBPLY/21/180501/000244. This work has been supported by grant "Redes de Interconexion, Aceleradores Hardware 𝑦 Optimizacion de Aplicaciones" (PID2019-105660RB-C22, funded by MCIN/ AEI /10.13039/501100011033).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UCreaarrow_drop_down
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    UCrea
    Other literature type . 2024
    License: CC BY NC ND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UCreaarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      UCrea
      Other literature type . 2024
      License: CC BY NC ND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Müller, Sune Dueholm; Konzag, Henrike; Nielsen, Jeppe Agger; Sandholt, Hafdís Bergsdóttir;

    Practitioners and researchers are increasingly engaged and interested in digital transformation leadership. However, the existing literature is fragmented and we lack knowledge of the competencies required by business leaders to facilitate digital transformation. In response, we rely on a literature study and draw inspiration from the Competing Values Framework to identify digital transformation leadership competencies. We theorize four archetypical competency portfolios, which are labeled according to the types of leaders who personify the constituent competencies: the challenger, the bricoleur, the organizer, and the competitor. We draw inspiration from the Competing Values Framework in advancing a contingency perspective on archetypical these portfolios. By theorizing competency portfolios, we contribute new insights into the role of leadership in digital transformation, which requires different competencies depending on the transformation drivers and goals. Our proposed competency portfolio framework serves as a valuable tool for identifying the required competencies and making decisions on whether to upskill existing leaders or hire new ones to drive transformation efforts.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Aalborg University R...arrow_drop_down
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    International Journal of Information Management
    Article . 2024 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Article . 2024
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Aalborg University R...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      International Journal of Information Management
      Article . 2024 . Peer-reviewed
      License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      VBN
      Article . 2024
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Norma Gutiérrez; Beatriz Otero; Eva Rodríguez; Gladys Utrera; +2 Authors

    Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, classify, or recognize complex data. These activities enable companies to offer an array of services to users, such as precise advertising and optimal location services. This study explores potential solutions for preserving privacy while utilizing DL applications. To address the privacy issue, we develop a privacy-preserving framework specifically designed for fog computing environments. Unlike traditional cloud computing architectures, fog embedded architectures only share a small portion of user data with a nearby fog node, ensuring that the majority of sensitive data remains secure. Within these fog nodes, we incorporate two additional algorithms, namely Generalization and Threshold, to enhance the privacy-preserving capabilities of the framework. The first algorithm, Generalization, introduces a validation dataset within the fog nodes which not only increases the accuracy of the fog-embedded framework but also ensures that user data is preserved. The second algorithm, Threshold, is responsible for protecting user data samples and reducing the amount of information sent to the server. By combining these two algorithms, we are able to provide an additional layer of protection for user privacy while still maintaining the accuracy of the model. We conduct an evaluation to test its effectiveness using two separate datasets. In addition, we analyze them through a Feed Forward Neural Network (FFNN) and compare the results with a traditional centralized architecture to validate the effectiveness of the proposed framework. The results of our evaluation demonstrate that the proposed privacy-preserving framework, when combined with the Generalization and Threshold algorithms, can preserve up to 38.44% of user data. Additionally, we were able to extend the framework to multiple fog nodes without compromising the network’s accuracy, as we only observed a 0.1% decrease in accuracy when using the proposed architecture. This study emphasizes the importance of preserving user information while using DL applications and provides a solution that trains the desired network without violating user privacy, hence preserving their anonymity. Overall, the study highlights the potential of Federated Deep Learning to improve the accuracy and privacy of DL applications in fog computing environments. This work is partially supported by the Spanish Ministry of Science and Innovation, Spain under contracts PID2021-124463OB-IOO and PID2019-107255GB-C22; by the Generalitat de Catalunya, Spain under grant 2021SGR00326; and by the DRAC (IU16-011591), the HORIZON Vitamin-V, Spain(101093062), the HORIZON-AG PHOENI2X, Spain (101070586) and the HORIZON HORSE, Spain (101096342) projects. Peer Reviewed

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UPCommons. Portal de...arrow_drop_down
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    Engineering Applications of Artificial Intelligence
    Article . 2024 . Peer-reviewed
    License: CC BY NC ND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UPCommons. Portal de...arrow_drop_down
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      Engineering Applications of Artificial Intelligence
      Article . 2024 . Peer-reviewed
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    Authors: Shalini Dhar; Ashish Khare; Ashutosh Dhar Dwivedi; Rajani Singh;

    This paper delves into the crucial challenge of safeguarding data sensitivity and preventing security breaches, which can result in substantial losses, including significant financial costs and potential loss of lives. Notably, the United States faces the highest financial burden, with data breaches costing approximately USD 5.09 million. With the proliferation of Internet of Things (IoT) devices, enormous volumes of data are collected from diverse sources. However, the inherent limitations in computational power and memory of IoT devices render them susceptible targets for malicious attacks. This study focuses on fortifying the security of multimedia data, encompassing audio, video, and images, obtained from IoT devices. Cutting-edge technologies such as blockchain and quantum cryptography are explored as promising avenues to bolster multimedia security and preserve privacy. Quantum Key Distribution (QKD) emerges as an alternative to classical encryption and key distribution methods, offering heightened data security. Simultaneously, blockchain leverages hash functions to augment the overall security posture. By harnessing the principles of quantum mechanics, QKD facilitates secure key exchange between involved parties for data encryption and decryption. Additionally, the paper introduces innovative methodologies to enhance the security, privacy, and anonymity of IoT devices.

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    Authors: Yue Ma; Xiaoping Guo; Zhenhua Zhang; Cigang Yu; +7 Authors
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Trees, Forests and P...arrow_drop_down
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    Trees, Forests and People
    Article . 2024 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Trees, Forests and P...arrow_drop_down
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      Trees, Forests and People
      Article . 2024 . Peer-reviewed
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    Authors: Jaana Korhonen; Rajat Panwar; Jesse Henderson; Kathryn Fernholz; +3 Authors
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    Trees, Forests and People
    Article . 2024 . Peer-reviewed
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      Trees, Forests and People
      Article . 2024 . Peer-reviewed
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    Authors: Mayra del C. Fragoso-Medina; Armando Navarrete-Segueda; Eliane Ceccon; Miguel Martínez-Ramos;
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    Trees, Forests and People
    Article . 2024 . Peer-reviewed
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      Trees, Forests and People
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    Authors: Shem Kuyah; Catherine Muthuri; Denis Wakaba; Athanase Rusanganwa Cyamweshi; +2 Authors
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    Trees, Forests and People
    Article . 2024 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Trees, Forests and P...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Trees, Forests and People
      Article . 2024 . Peer-reviewed
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    Authors: Anne Marel Hilbers; Frans J. Sijtsma; Tim Busscher; Jos Arts;
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Land Use Policyarrow_drop_down
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    Land Use Policy
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      Land Use Policy
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694,228 Research products
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Dimitri Belli; Paolo Barsocchi; Filippo Palumbo;

    Matter is an open-source, royalty-free connectivity standard developed by the Connectivity Standards Alliance (CSA-IoT). It aims to unify smart home devices and increase their compatibility across various ecosystems. Backed by major tech companies like Apple, Google, Amazon, and the Zigbee Alliance, Matter simplifies the development of IoT devices by providing a unified approach to connectivity. It offers a secure, reliable, and seamless way for devices to communicate and interact, regardless of the manufacturer. This paper aims to present the current state of adoption of the Matter specification by devices available on the market, and the certification process by the available software. It describes the main characteristics of Matter in its Specification 1.0 state, reviewing the features and functionalities of the Matter protocol, as well as the opportunities for its use and the challenges for its large-scale adoption in Matter-compliant IoT devices. We discuss the impact of Matter on IoT technologies and ecosystems, providing guidance for manufacturers and consumers. We analyze the emerging research challenges in its adoption and propose our recommendations on how to improve and extend this protocol for better use in the future.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
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    CNR ExploRA
    Article . 2023
    Data sources: CNR ExploRA
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    Internet of Things
    Article . 2024 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ISTI Open Portal
    Article . 2023
    Data sources: ISTI Open Portal
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      Article . 2023
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      Internet of Things
      Article . 2024 . Peer-reviewed
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      ISTI Open Portal
      Article . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Duque Medina, Rafael; Bravo, Crescencio; Bringas Tejero, Santos; Postigo Díaz, Daniel;

    User interfaces for digital twins (DTs) should provide information that allows the user to be aware of the state of the physical entity that is virtualised. Typically, this real entity is a shared space in which various human and artificial agents interact (for instance, in smart cities, various citizens and vehicles interact; in manufacturing, operators and machinery cooperate in the production, etc.) and the user interface must provide information about its state. This work presents ADD (Awareness Description Diagrams) as a technique for modelling requirements of Human-DT interaction. A study was conducted in order to virtualise a natural space where groups of hikers carry out their activities. This study assesses the learning curve of ADD, its feasibility to model Human-DT requirements, and its utility to design user interfaces. The results of the study provide valuable insights into the effectiveness of the ADD technique. This work is funded in part by the Dirección General Universidades, Investigación e Innovación, Spain, Junta de Comunidades de CastillaLa Mancha, Spain, and the European Regional Development Fund (ERDF), grant number SBPLY/21/180501/000244. This work has been supported by grant "Redes de Interconexion, Aceleradores Hardware 𝑦 Optimizacion de Aplicaciones" (PID2019-105660RB-C22, funded by MCIN/ AEI /10.13039/501100011033).

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    UCrea
    Other literature type . 2024
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      UCrea
      Other literature type . 2024
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Müller, Sune Dueholm; Konzag, Henrike; Nielsen, Jeppe Agger; Sandholt, Hafdís Bergsdóttir;

    Practitioners and researchers are increasingly engaged and interested in digital transformation leadership. However, the existing literature is fragmented and we lack knowledge of the competencies required by business leaders to facilitate digital transformation. In response, we rely on a literature study and draw inspiration from the Competing Values Framework to identify digital transformation leadership competencies. We theorize four archetypical competency portfolios, which are labeled according to the types of leaders who personify the constituent competencies: the challenger, the bricoleur, the organizer, and the competitor. We draw inspiration from the Competing Values Framework in advancing a contingency perspective on archetypical these portfolios. By theorizing competency portfolios, we contribute new insights into the role of leadership in digital transformation, which requires different competencies depending on the transformation drivers and goals. Our proposed competency portfolio framework serves as a valuable tool for identifying the required competencies and making decisions on whether to upskill existing leaders or hire new ones to drive transformation efforts.

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    International Journal of Information Management
    Article . 2024 . Peer-reviewed
    License: CC BY
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    VBN
    Article . 2024
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Aalborg University R...arrow_drop_down
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      International Journal of Information Management
      Article . 2024 . Peer-reviewed
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      VBN
      Article . 2024
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    Authors: Norma Gutiérrez; Beatriz Otero; Eva Rodríguez; Gladys Utrera; +2 Authors

    Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, classify, or recognize complex data. These activities enable companies to offer an array of services to users, such as precise advertising and optimal location services. This study explores potential solutions for preserving privacy while utilizing DL applications. To address the privacy issue, we develop a privacy-preserving framework specifically designed for fog computing environments. Unlike traditional cloud computing architectures, fog embedded architectures only share a small portion of user data with a nearby fog node, ensuring that the majority of sensitive data remains secure. Within these fog nodes, we incorporate two additional algorithms, namely Generalization and Threshold, to enhance the privacy-preserving capabilities of the framework. The first algorithm, Generalization, introduces a validation dataset within the fog nodes which not only increases the accuracy of the fog-embedded framework but also ensures that user data is preserved. The second algorithm, Threshold, is responsible for protecting user data samples and reducing the amount of information sent to the server. By combining these two algorithms, we are able to provide an additional layer of protection for user privacy while still maintaining the accuracy of the model. We conduct an evaluation to test its effectiveness using two separate datasets. In addition, we analyze them through a Feed Forward Neural Network (FFNN) and compare the results with a traditional centralized architecture to validate the effectiveness of the proposed framework. The results of our evaluation demonstrate that the proposed privacy-preserving framework, when combined with the Generalization and Threshold algorithms, can preserve up to 38.44% of user data. Additionally, we were able to extend the framework to multiple fog nodes without compromising the network’s accuracy, as we only observed a 0.1% decrease in accuracy when using the proposed architecture. This study emphasizes the importance of preserving user information while using DL applications and provides a solution that trains the desired network without violating user privacy, hence preserving their anonymity. Overall, the study highlights the potential of Federated Deep Learning to improve the accuracy and privacy of DL applications in fog computing environments. This work is partially supported by the Spanish Ministry of Science and Innovation, Spain under contracts PID2021-124463OB-IOO and PID2019-107255GB-C22; by the Generalitat de Catalunya, Spain under grant 2021SGR00326; and by the DRAC (IU16-011591), the HORIZON Vitamin-V, Spain(101093062), the HORIZON-AG PHOENI2X, Spain (101070586) and the HORIZON HORSE, Spain (101096342) projects. Peer Reviewed

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    Engineering Applications of Artificial Intelligence
    Article . 2024 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ UPCommons. Portal de...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Engineering Applications of Artificial Intelligence
      Article . 2024 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.