{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T20:48:21Z","timestamp":1773262101023,"version":"3.50.1"},"reference-count":34,"publisher":"Walter de Gruyter GmbH","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The technological innovation and the relentless marketing of new electronic products with improved performance generate increasing quantities of Waste from Electrical and Electronic Equipment (WEEE). In this scenario, End-Of-Life (EOL) flat monitors and screens represent a category generating, as a consequence of the rapid change in technology, an important amount of waste. Considering future estimations, the implementation of an adequate recycling infrastructure is necessary. An efficient, reliable and low-cost analytical tool is thus needed to perform detection\/control actions in order to assess: i) waste composition and ii) physical-chemical attributes of the resulting materials. The knowledge of these information is a requirement to set-up and to implement correct recycling actions.<\/jats:p>\n               <jats:p>In this study, a cascade identification approach, based on Near InfraRed (NIR) \u2013 HyperSpectral Imaging (HSI), was carried out. More in detail, a four-steps classification was designed, implemented and set-up in order to recognize different materials occurring in a specific WEEE stream: EOL milled monitors and flat screens. Adopting the proposed approach, different material categories are correctly recognized and classified. Obtained results can be useful not only to set-up a quality control system, but also to improve sorting actions in this specific recycling sector.<\/jats:p>","DOI":"10.1515\/auto-2019-0058","type":"journal-article","created":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T14:10:18Z","timestamp":1590502218000},"page":"265-276","source":"Crossref","is-referenced-by-count":12,"title":["Near infrared hyperspectral imaging-based approach for end-of-life flat monitors recycling"],"prefix":"10.1515","volume":"68","author":[{"given":"Giuseppe","family":"Bonifazi","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering, Materials and Environment , Sapienza \u2013 University of Rome , via Eudossiana 18 , Rome , Italy"}]},{"given":"Riccardo","family":"Gasbarrone","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, Materials and Environment , Sapienza \u2013 University of Rome , via Eudossiana 18 , Rome , Italy"}]},{"given":"Roberta","family":"Palmieri","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, Materials and Environment , Sapienza \u2013 University of Rome , via Eudossiana 18 , Rome , Italy"}]},{"given":"Silvia","family":"Serranti","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, Materials and Environment , Sapienza \u2013 University of Rome , via Eudossiana 18 , Rome , Italy"}]}],"member":"374","published-online":{"date-parts":[[2020,3,25]]},"reference":[{"key":"2023033110290198839_j_auto-2019-0058_ref_001_w2aab3b8c83b1b7b1ab2ab1Aa","doi-asserted-by":"crossref","unstructured":"Ballabio, D. and Consonni, V. 2013. 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