{"id":613,"date":"2020-12-28T16:48:29","date_gmt":"2020-12-28T15:48:29","guid":{"rendered":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/?page_id=613"},"modified":"2021-09-27T10:39:19","modified_gmt":"2021-09-27T08:39:19","slug":"research","status":"publish","type":"page","link":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\t\t
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\n\t\t\t\t\tGeomatics<\/span>\n\t\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t

The LabGeoInf research laboratory focuses on original applications of special techniques: geomatics engineering, technologies and tools for the acquisition, processing, management, analysis, and presentation of geospatial data. LabGeoInf is based on a range of synergetic activities including geospatial modeling, geospatial analysis, geospatial databases, geospatial technologies, FEA\/FEM analysis, information systems, systems design, spatial cognition, human-computer interaction, mobile computing, wired and wireless network technologies.\n<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\tMachine Learning<\/span>\n\t\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t

The LabGeoInf research laboratory focuses on original theoretical and applied research for computing systems and machine learning algorithms for engineering applications in health care wereable and biomedical images. Other recent research areas concern the machine vision with machine learning systems for convolutional neural networks applied both in territorial areas and on biomedical images.\n<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\tComputer Science<\/span>\n\t\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t

The LabGeoInf research laboratory focuses on three topics:\nResearch to develop knowledge, skills and background in the design and organisation of computer systems with an emphasis on data analytics.\nResearch to evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.\nResearch to evaluate and respond to opportunities for developing and exploiting new technologies with data analytics concepts and tools.\n<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Recent publications:<\/em><\/h6>
  • A System for Monitoring the Environment of Historic Places Using Convolutional Neural Network Methodologies
    (2021) in Heritage (Basel) Online
    Maria, Massimo De and Fiumi, Lorenza and Mazzei, Mauro and V., Bik Oleg<\/li>
  • New Smart Mobility Applications: Preliminary Findings on a Pilot Study in the Municipality of Artena
    (2021) ICCSA 2021, Cagliari, Italy, September 13-16, 2021
    Mauro D’Apuzzo, Azzurra Evangelisti, Daniela Santilli, Stefano Buzzi, Mauro Mazzei, Viviana Bietoni<\/li>
  • An Unsupervised Machine Learning Approach for Medical Image Analysis
    (2021) Future of Information and Communication Conference, 29-30\/04\/2021
    Mauro Mazzei<\/li>
  • Analysis of Regional Imbalances in Italy Based on Cluster Analysis
    (2021) Computational Science and Its Applications – ICCSA 2021, Cagliari, Italy, 13-16, 2021
    Massimo De Maria, Mauro Mazzei, Oleg V. Bik, Armando L. Palma<\/li>
  • AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS.
    C Capodiferro, M Mazzei
    ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 6 – 2020<\/li>
  • A Machine Learning Platform for NLP in Big Data
    M Mazzei
    Proceedings of SAI Intelligent Systems Conference, 245-259 – 2020<\/li>
  • A Machine Learning Platform in Healthcare with Actor Model Approach
    M Mazzei
    Science and Information Conference, 564-571 – 2020<\/li>
  • Approximate Query Answering Based on Topological Neighborhood and Semantic Similarity in OpenStreetMap
    A Formica, M Mazzei, E Pourabbas, M Rafanelli
    IEEE Access 8, 87011-87030 – 2020<\/li>
  • An Unsupervised Machine Learning Approach in Remote Sensing Data
    M Mazzei
    International Conference on Computational Science and Its Applications, 435-447 – 2019<\/li>
  • Querying Distributed GIS with GeoPQLJ based on GeoJSON.
    A Formica, M Mazzei, E Pourabbas, M Rafanelli
    GISTAM, 175-182 – 2019<\/li>
  • Querying Distributed GIS with GeoPQLJ based on GeoJSON
    RM Anna Formica, Mauro Mazzei, Elaheh Pourabbas GISTAM19-4B – 2019<\/li>
  • Spatial Data Warehouse and Spatial OLAP in Indoor\/Outdoor Cultural Environments
    M Mazzei, S Di Guida
    International Conference on Computational Science and Its Applications, 233-250 – 2018<\/li>
  • Approximate answering of queries involving polyline\u2013polyline topological relationships
    A Formica, M Mazzei, E Pourabbas, M Rafanelli
    Information Visualization 17 (2), 128-145 – 2018<\/li>
  • Software development for unsupervised approach to identification of a multi temporal spatial analysis model
    M Mazzei – 2018
    Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV)<\/li>
  • SICS: A Social Network Based Information System for the Inclusive Community
    E Pourabbas, A D\u2019Uffizi, M Mazzei, FL Ricci<\/li>
  • Spatial multicriteria analysis approach for evaluation of mobility demand in urban areas
    M Mazzei, AL Palma
    International Conference on Computational Science and Its Applications, 451-468 – 2017<\/li>
  • MIS: Multimodal Interaction Services in a cloud perspective
    P Grifoni, F Ferri, MC Caschera, A D’Ulizia, M Mazzei
    arXiv preprint arXiv:1704.00972 – 2017<\/li>
  • Enriching the semantics of the directed polyline\u2013polygon topological relationships: the -intersection matrix
    A Formica, M Mazzei, E Pourabbas, M Rafanelli
    Journal of Geographical Systems 19 (2), 175-196 – 2017<\/li>
  • A decision support system for the analysis of mobility
    M Mazzei, AL Palma
    International Conference on Computational Science and Its Applications, 390-402 – 2015
    Computational Science and Its Applications–ICCSA 2015: 15th International Conference, Banff, AB, Canada, June 22-25, 2015, Proceedings
    O Gervasi, B Murgante, S Misra, ML Gavrilova, AMAC Rocha, C Torre, …
    Springer – 2015<\/li>
  • Comparative analysis of models of location and spatial interaction
    M Mazzei, AL Palma
    International Conference on Computational Science and Its Applications, 253-267 – 2014<\/li>
  • Analysis of Localization and Space Interaction Models. Proposal of very good linked model applied to a study area for the localization of a large shopping mall
    M Mazzei, AL Palma
    GEOMEDIA 18 (2), 265-275 – 2014<\/li>
  • Evaluating principal components analysis of particular spatial statistical models
    M Mazzei, AL Palma
    Sixth International Conference on Advanced Geographic Information Systems \u2026 – 2014<\/li>
  • Spatial statistical models for the evaluation of the landscape
    M Mazzei, AL Palma
    International Conference on Computational Science and Its Applications, 419-432 – 2013<\/li>
  • Un Sistema informativo territoriale per i Beni Culturali: Il GIS del Progetto Censimento per la Cartografia Archeologica d\u2019Italia
    ML Marchi, M Mazzei
    Digitalia 1, 106-112 – 2012<\/li>
  • A 16-intersection matrix for the polygon-polyline topological relation for geographic pictorial query languages
    A Formica, M Mazzei, E Pourabbas, M Rafanelli
    International Conference on Availability, Reliability, and Security, 302-316 – 2012
    Multidisciplinary Research and Practice for Information Systems
    GQJ Basl, IYLX EdgarWeippl – 2012<\/li><\/ul>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Geomatics The LabGeoInf research laboratory focuses on original applications of special techniques: geomatics engineering, technologies and tools for the acquisition, processing, management, analysis, and presentation of geospatial data. LabGeoInf is based on a range of synergetic activities including geospatial modeling, geospatial analysis, geospatial databases, geospatial technologies, FEA\/FEM analysis, information systems, systems design, spatial cognition, human-computer […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/613"}],"collection":[{"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/comments?post=613"}],"version-history":[{"count":21,"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/613\/revisions"}],"predecessor-version":[{"id":1157,"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/613\/revisions\/1157"}],"wp:attachment":[{"href":"http:\/\/labgeoinf.iasi.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/media?parent=613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}