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  • Open Access


    Laws Regarding Physician Assisted Dying around the World as of January 31, 2022

    État des lieux des législations sur l’aide active à mourir dans le monde au 31 janvier 2022

    P. Galmiche, S. Dauchy

    Psycho-Oncologie, Vol.16, No.2, pp. 223-228, 2022, DOI:10.3166/pson-2022-0199

    Abstract As of January 31, 2022, ten countries have legislated in favor of active assistance in dying after political, ethical, and social debates. This article reviews the legislative history of these countries (Switzerland, the United States, the Netherlands, Belgium, Luxembourg, Canada, Australia, New Zealand, Spain, and Austria) and describes the framework prescribed by each law to regulate and control the practice of euthanasia or assisted suicide. The aim is to highlight the arguments that are essential for the establishment and implementation of a law, as well as the common eligibility criteria and safeguards, with particular attention paid to the criteria relating… More >

  • Open Access


    Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects

    Nadeem Jabbar Chaudhry1,*, M. Bilal Khan2, M. Javaid Iqbal1, Siddiqui Muhammad Yasir3

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 245-259, 2022, DOI:10.32604/jai.2022.038875

    Abstract Recently, outstanding identification rates in image classification tasks were achieved by convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB camera. Defects must be detected early to take timely corrective action due to production concerns. For image classification up till now, a model-based method has been utilized, which indicated the predicted reflection characteristics of surface defects in comparison to flaw-free surfaces. The problem of detecting steel surface defects has grown in importance as a result of the vast range of steel applications in end-product… More >

  • Open Access


    The Cloud Manufacturing Resource Scheduling Optimization Method Based on Game Theory

    Xiaoxuan Yang*, Zhou Fang

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 229-243, 2022, DOI:10.32604/jai.2022.035368

    Abstract In order to optimize resource integration and optimal scheduling problems in the cloud manufacturing environment, this paper proposes to use load balancing, service cost and service quality as optimization goals for resource scheduling, however, resource providers have resource utilization requirements for cloud manufacturing platforms. In the process of resource optimization scheduling, the interests of all parties have conflicts of interest, which makes it impossible to obtain better optimization results for resource scheduling. Therefore, a multithreaded auto-negotiation method based on the Stackelberg game is proposed to resolve conflicts of interest in the process of resource scheduling. The cloud manufacturing platform first… More >

  • Open Access


    ResCD-FCN: Semantic Scene Change Detection Using Deep Neural Networks

    S. Eliza Femi Sherley1,*, J. M. Karthikeyan1, N. Bharath Raj1, R. Prabakaran2, A. Abinaya1, S. V. V. Lakshmi3

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 215-227, 2022, DOI:10.32604/jai.2022.034931

    Abstract Semantic change detection is extension of change detection task in which it is not only used to identify the changed regions but also to analyze the land area semantic (labels/categories) details before and after the timelines are analyzed. Periodical land change analysis is used for many real time applications for valuation purposes. Majority of the research works are focused on Convolutional Neural Networks (CNN) which tries to analyze changes alone. Semantic information of changes appears to be missing, there by absence of communication between the different semantic timelines and changes detected over the region happens. To overcome this limitation, a… More >

  • Open Access


    Iris Recognition Based on Multilevel Thresholding Technique and Modified Fuzzy c-Means Algorithm

    Slim Ben Chaabane1,2,*, Rafika Harrabi1,2, Anas Bushnag1, Hassene Seddik2

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 201-214, 2022, DOI:10.32604/jai.2022.032850

    Abstract Biometrics represents the technology for measuring the characteristics of the human body. Biometric authentication currently allows for secure, easy, and fast access by recognizing a person based on facial, voice, and fingerprint traits. Iris authentication is one of the essential biometric methods for identifying a person. This authentication type has become popular in research and practical applications. Unlike the face and hands, the iris is an internal organ, protected and therefore less likely to be damaged. However, the number of helpful information collected from the iris is much greater than the other biometric human organs. This work proposes a new… More >

  • Open Access


    Trust in the Device: an Unreasonable Obstinacy

    La confiance dans le dispositif : une obstination déraisonnable

    J. Sainton, M. Derzelle

    Psycho-Oncologie, Vol.16, No.2, pp. 229-233, 2022, DOI:10.3166/pson-2022-0195

    Abstract The recent French legislative evolution concerning the end of life, which tends to substitute the procedure for the relationship, raises questions. Today, every question seems to have to be obstinately transformed into a problem to be solved, and therefore to be solved technically. We are evolving in a context marked by the primacy of technique and law over meaning and human relationships. This paradigm, when confronted with our limitations, accentuates the double anguish of the end of life: fear of suffering and fear of dying. It also favors a nominalist understanding of freedom: autonomy is no longer understood as an… More >

  • Open Access


    Impact of Precariousness and Perceived Social Support, on the Return to Work of Women with Breast Cancer, in the Year Following the Beginning of Adjuvant Treatments

    Influence de la précarité sociale et du soutien social perçu, sur le retour au travail des femmes ayant un cancer du sein, dans l’année suivant le début des traitements adjuvants

    B. Porro, A. Michel, F. Cousson-Gélie

    Psycho-Oncologie, Vol.16, No.2, pp. 273-281, 2022, DOI:10.3166/pson-2022-0181

    Abstract The aim is to assess the associations between social precariousness, perceived social support, and the return to work (RTW) in the first year following the beginning of adjuvant breast cancer treatment. Sixty-eight breast cancer patients encountered when starting their adjuvant treatment (T0) were followed up at 3 (T1) and 12 months (T2). Friends’ informative support at T0 favours the RTW at T1. Precariousness and negative support at T0 and T2 decrease the likelihood of RTW at T2. RTW support should be offered and tailored at the outset of treatment.

    L’objectif est d’étudier les liens entre précarité sociale, soutien… More >

  • Open Access


    Analyser la structure de dispositifs de mise à disposition de données géographiques

    Application aux enjeux de suivi et de gestion du trait de côte en France

    Johan Desbonnet1 , Françoise Gourmelon1, Christophe Claramunt2

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 57-80, 2019, DOI:10.3166/rig.2019.00079

    Abstract In the context of shoreline management and monitoring issues, inferring information and knowledge from the Web are considered as a crucial issue. However, Spatial Data Infrastructures promoters’ strategies and content are still unknown. This article presents a methodological approach to study the technical possibilities of access to the digital geographic information on online platforms often used for shoreline management and monitoring in France. Geographical data access on such platforms is granted by the presence of hyperlinks and Geospatial Web services. The analysis of this structural components (hyperlinks and Web services) shows a disparate situation for the access to geographical information.… More >

  • Open Access


    Calcul de similarité sémantique entre trajectoires

    Clément Moreau, Thomas Devogele, Laurent Etienne

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 107-128, 2019, DOI:10.3166/rig.2019.00077

    Abstract Understanding mobility, whether physical in the spatial sense or virtual in the web navigation sense, raises many challenges in terms of monitoring individuals, spatial planning or activity recommendations. Having access today to many resources on the contextual nature of this mobility, one of the current concerns is to succeed in identifying groups of similar individuals with regard to their mobility. To do this, we propose a semantic trajectory model enriched by ontologies at the level of contextual data and allowing us to calculate the similarity between each episode of individual mobility. Subsequently, an editing distance is used to evaluate in… More >

  • Open Access


    Objets et relations spatiales composites et prise en compte du vague pour interpréter un référencement spatial indirect

    Mattia Bunel, Ana-Maria Olteanu-Raimond, Cécile Duchêne

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 81-106, 2019, DOI:10.3166/rig.2019.00075

    Abstract This paper proposes a methodology for transforming a position description expressed relatively in an indirect spatial reference system into an absolute position in a direct spatial reference system. This problem requires (1) to formalize the relative location elements, here in the form of a triplet model, which is used as a basis for the transformation from relative to absolute position, and (2) to investigate how the imperfection of the natural language can be taken into account in the modeling process. We propose to use fuzzy spatial objects and we will compare their implementations to identify the most appropriate approach to… More >

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