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Graph neural network based model for multi-behavior session-based recommendation / Bo Yu in Geoinformatica, vol 26 n° 2 (April 2022)  

Public [article]  inGeoinformatica > vol 26 n° 2 (April 2022) . - pp 429 - 447 Titre : Graph neural network based model for multi-behavior session-based recommendation Type de document : Article/Communication Auteurs : Bo Yu, Auteur ; Ruoqian Zhang, Auteur ; Wei Chen, Auteur ; Junhua Fang, Auteur Année de publication : 2022 Article en page(s) : pp 429 - 447 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] attention (apprentissage automatique) [Termes IGN] comportement [Termes IGN] consommation [Termes IGN] modèle de simulation [Termes IGN] réseau neuronal de graphes [Termes IGN] réseau sémantique [Termes IGN] service fondé sur la position Mots-clés libres : session Résumé : (auteur) Multi-behavior session-based recommendation aims to predict the next item, such as a location-based service (LBS) or a product, to be interacted by a specific behavior type (e.g., buy or click) in a session involving multiple types of behaviors. State-of-the-art methods generally model multi-behavior dependencies in item-level, but ignore the potential of discovering useful patterns of multi-behavior transition through feature-level representation learning. Besides, sequential and non-sequential patterns should be properly fused in session modeling to capture dynamic interests within the session. To this end, this paper proposes a Graph Neural Network based Hybrid Model GNNH, which enables feature-level deeper representations of multi-behavior interaction sequences for session-based recommendation. Specifically, we first construct multi-relational item graph (MRIG) and feature graph (MRFG) based on session sequences. On top of the MRIG and MRFG, our model takes advantage of GNN to capture item and feature representations, such that global item-to-item and feature-to-feature relations are fully preserved. Afterwards, each multi-behavior session is modeled by a seamless fusion of interacted item and feature representations, where self-attention and mean-pooling are used to obtain sequential and non-sequential patterns simultaneously. Experiments on two real datasets show that the GNNH model significantly outperforms the state-of-the-art methods. Numéro de notice : A2022-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-021-00439-w Date de publication en ligne : 29/05/2021 En ligne : https://doi.org/10.1007/s10707-021-00439-w Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100489 [article]

Dynamic linkage between urbanization, electrical power consumption, and suitability analysis using remote sensing and GIS techniques / Muhammad Nasar Ahmad in Photogrammetric Engineering & Remote Sensing, PERS, vol 88 n° 3 (March 2022)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 88 n° 3 (March 2022) . - pp 171 - 179 Titre : Dynamic linkage between urbanization, electrical power consumption, and suitability analysis using remote sensing and GIS techniques Type de document : Article/Communication Auteurs : Muhammad Nasar Ahmad, Auteur ; Qimin Cheng, Auteur ; Fang Luo, Auteur Année de publication : 2022 Article en page(s) : pp 171 - 179 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] consommation [Termes IGN] densité de population [Termes IGN] éclairage public [Termes IGN] électricité [Termes IGN] étalement urbain [Termes IGN] image DMSP-OLS [Termes IGN] image Landsat-OLI [Termes IGN] image Landsat-TM [Termes IGN] Pakistan [Termes IGN] prise de vue nocturne [Termes IGN] urbanisation Résumé : (auteur) This article proposes an estimation method for assessing urban sprawl using multispectral remote sensing data: SNPP-VIIRS, DMSP/OLS, Landsat 5-TM, and Landsat 8-OLI. This study focuses on the impacts of human activities, in terms of increased electrical-power consumption (EPC) due to urbanization. For this purpose, night-time light data are used to measure the EPC growth from 2000 to 2020. We also perform a suitability analysis using geographic information-systems techniques to propose a new urban town in Lahore to mitigate urbanization and EPC increase. We found an overall increase of 33% in urban area and an EPC increase of 21.6% in the last two decades. We also find that the best proposed site for the new urban town is in the northwest of Lahore. Numéro de notice : A2022-201 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.21-00026R3 Date de publication en ligne : 01/03/2022 En ligne : https://doi.org/10.14358/PERS.21-00026R3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100004 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2022031	SL	Revue	Centre de documentation	Revues en salle	Disponible

From artificial intelligence to artificial human interaction : understand consumer acceptance of smart objects via mental representations of future interactions / Mohamed Hakimi (2022)  

Public Titre : From artificial intelligence to artificial human interaction : understand consumer acceptance of smart objects via mental representations of future interactions Type de document : Thèse/HDR Auteurs : Mohamed Hakimi, Auteur ; Pierre Valette-Florence, Directeur de thèse Editeur : Grenoble [France] : Université Grenoble Alpes Année de publication : 2022 Importance : 397 p. Format : 21 x 30 cm Note générale : bibliographie Thèse pour obtenir le grade de Docteur de l'Université Grenoble Alpes, spécialité Science de gestion Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] comportement [Termes IGN] consommation [Termes IGN] interaction homme-machine [Termes IGN] internet des objets [Termes IGN] ontologie [Termes IGN] représentation mentale Index. décimale : THESE Thèses et HDR Résumé : (auteur) While we are promised a booming for IoT markets and artificial intelligence, consumers still seem affected by ambivalence and concern regarding their acceptance (Ardelet et al. 2017). These negative attitudes toward smart objects represent a real barrier to adoption (Mani and Chouk 2018). Prior studies have tried to investigate the mechanisms of acceptance and resistance toward smart objects. Yet, they often relied upon a human-oriented perspective to assess this complex phenomenon and didn’t consider the interpersonal nature of consumer-smart object interactions (Novak and Hoffman 2019, Monsurro et al. 2020). The aim of this research is to assess the consumer-smart object anticipated interaction from an object-oriented ontology. The main goal is to explore the mental representations that smart object’s capacities can trigger. We posit that consumers can mentally simulate future interpersonal interactions with the smart object, based on its perceived capacities to affect and to be affected (Hoffman and Novak 2015). To do so, this research has adopted a mixed-method approach. First, we relied upon a projective qualitative technique called Album-OnLine (AOL) to explore the mental representations elicited by a smart object before purchase. Then, two quantitative studies examine the potential influence of smart object’s perceived capacities (Agency) over the emergence of negative attitudes and anxiety toward it, prior to any real-life interaction. Our results suggest that passive resistance toward smart objects and anxiety toward them emerge due to the innovative and agentic capacities expressed by the smart object. A detailed explanation of the phenomenon and avenues for future research are provided for researchers and managers to reduce this state of anticipated anxiety and to promote smart objects’ adoption. Note de contenu : Introduction 1- A theoretical approach of consumer-smart object interaction 2- Studying the simulated relational outcomes of consumer-smart objects anticipated relationships: Conceptual framework and methodology General discussion Numéro de notice : 24070 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Thèse française Note de thèse : Thèse de Doctorat : Science de gestion : Grenoble : 2022 Organisme de stage : CERAG DOI : sans En ligne : https://tel.hal.science/tel-03790489 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102125

Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy) / Giorgio Agugiaro in Applied geomatics, vol 8 n° 1 (March 2016)  

Public [article]  inApplied geomatics > vol 8 n° 1 (March 2016) . - pp 41 - 56 Titre : Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy) Type de document : Article/Communication Auteurs : Giorgio Agugiaro, Auteur Année de publication : 2016 Article en page(s) : pp 41 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bâtiment [Termes IGN] caractérisation [Termes IGN] CityGML [Termes IGN] consommation [Termes IGN] intégration de données [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] outil d'aide à la décision [Termes IGN] performance énergétique [Termes IGN] Trente [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) This article presents the first results concerning the development and implementation of a tool for the estimation of the energy performance for residential buildings at city scale. Space heating and domestic hot water production are taken into account. Project “EnerCity” focuses on two main topics: (a) the creation of a CityGML-compliant 3D city model from sub-optimal datasets and (b) its adoption as information hub to develop energy-related assessment tools. A part of the city of Trento, in northern Italy, was chosen as the case study area for testing purposes; however, the methodology was developed to be extended to the whole city. Only publicly available data were used. The energy demand calculation method is based on the Italian Technical Specifications UNI/TS 11300:2008. For each building, the primary energy demand for space heating and domestic hot water production, as well as the resulting energy performance index, are estimated. In order to characterise the buildings, heterogeneous datasets (cadastral data, statistical data, etc.) were harmonised and integrated. All residential buildings were successively classified into distinct building types according to the criteria defined for Italy in the European project “Tabula”. The developed tool allows for data visualisation, editing as well as interactive refurbishment of the buildings. The article describes all relevant steps of the project and discusses possible enhancements and the future improvements. Numéro de notice : A2016--057 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-015-0163-2 En ligne : http://dx.doi.org/10.1007/s12518-015-0163-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84205 [article]

Projections démographiques / Françoise de Blomac in DécryptaGéo le mag, n° 172 (décembre 2015)

Public [article]  inDécryptaGéo le mag > n° 172 (décembre 2015) . - pp 8 - 9 Titre : Projections démographiques Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2015 Article en page(s) : pp 8 - 9 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] consommation [Termes IGN] démographie [Termes IGN] géomercatique [Termes IGN] prédiction Résumé : (auteur) Où vivrons-nous dans quelques années ? La question intéresse autant les décideurs publics que les entreprises qui doivent anticiper l’évolution de leurs consommateurs. Les projections de l’INSEE restent une référence, mais les professionnels du géomarketing ont souvent besoin de données spatialement plus détaillées pour mener leurs études et donner une dimension prédictive à leurs prestations. Numéro de notice : A2015-799 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79008 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
286-2015101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Bilan énergétique de la France pour 2014 / CGDD Commissariat Général au Développement Durable (2015)  

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A Feasibility study on occupants' behaviour and energy usage patterns and its potential integration with building information modelling / Liangxiu Han in International journal of 3-D information modeling, vol 4 n° 1 (January - March 2015)  

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Simulation-based total energy demand estimation of buildings using semantic 3D city models / Robert Kaden in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)  

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Analyse des indicateurs énergétiques des entreprises agricoles. Une approche Spatial OLAP / Sandro Bimonte in Revue internationale de géomatique, vol 24 n° 1 (mars – mai 2014)  

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Bilan énergétique de la France pour 2013 / CGDD Commissariat Général au Développement Durable (2014)

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Les indicateurs de développement durable pour les territoires, édition 2014 / CGDD Commissariat Général au Développement Durable (2014)  

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Simulating spatial dynamics and processes in a retail gasoline market: An agent-based modeling approach / Alison J. Heppenstall in Transactions in GIS, vol 17 n° 5 (October 2013)  

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La gestion territoriale des ressources énergétiques forestières : jusqu'où le ménagement d'hier peut-il s'appliquer aujourd'hui ? / Emile Evrard in Espace géographique, vol 42 n° 2 (avril - juin 2013)  

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Notes et avis des consommateurs sur le web : les marchés à l'épreuve de l'évaluation profane / Thomas Beauvisage in Réseaux, vol 31 n° 177 (février - avril 2013)

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A new GIScience application for visualized natural resources management and decision support / Y. Yang in Transactions in GIS, vol 15 supplement s1 (July 2011)  

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