{"id":287,"date":"2025-06-17T14:40:11","date_gmt":"2025-06-17T13:40:11","guid":{"rendered":"http:\/\/ijodir.com\/?page_id=287"},"modified":"2025-06-17T14:44:11","modified_gmt":"2025-06-17T13:44:11","slug":"v8_32025_1","status":"publish","type":"page","link":"https:\/\/ijodir.com\/index.php\/la-revue\/volume-8-n32025\/v8_32025_1\/","title":{"rendered":"V8_3\/2025_1"},"content":{"rendered":"<p><strong>Identification des tendances dans l\u2019industrie ferroviaire \u00e0 l\u2019aide de techniques d\u2019apprentissage automatique non supervis\u00e9<\/strong><\/p>\n<p><strong>M\u00e9lusine Caillard<sup>1<\/sup>, Pierre-Emmanuel Fayemi<sup>1<\/sup><\/strong><\/p>\n<p><em><sup>1 <\/sup><\/em><em>Ikos Lab 155 Rue Anatole France 92300 Levallois-Perret<\/em><\/p>\n<p>RESUME\u00a0: <em>Cette \u00e9tude pr\u00e9sente une m\u00e9thodologie innovante pour la d\u00e9tection des tendances disruptives dans l\u2019industrie ferroviaire en utilisant des techniques d\u2019apprentissage automatique non supervis\u00e9. Cette approche permet d\u2019identifier des structures cach\u00e9es et des relations entre les documents textuels, r\u00e9v\u00e9lant ainsi des dynamiques et des motifs significatifs. Les enjeux industriels de la recherche et du d\u00e9veloppement dans un environnement technologique en rapide \u00e9volution ont pour objectif de maintenir un avantage strat\u00e9gique.<\/em><\/p>\n<p>ABSTRACT\u00a0:<em> This study presents an innovative methodology for detecting disruptive trends in the railway industry using unsupervised machine learning techniques. This approach allows for the identification of hidden structures and relationships within textual documents, thereby revealing significant dynamics and patterns. The industrial challenges of research and development in a rapidly evolving technological environment aim to maintain a strategic advantage.<\/em><\/p>\n<p><em>MOTS-CLES : technologies prospectives, apprentissage automatique, algorithme de regroupement<\/em><em>.<\/em><\/p>\n<p><em>KEYWORDS : prospective technology, machine learning, clustering.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Identification des tendances dans l\u2019industrie ferroviaire \u00e0 l\u2019aide de techniques d\u2019apprentissage automatique non supervis\u00e9 M\u00e9lusine Caillard1, Pierre-Emmanuel Fayemi1 1 Ikos Lab 155 Rue Anatole France 92300 Levallois-Perret RESUME\u00a0: Cette \u00e9tude pr\u00e9sente une m\u00e9thodologie innovante pour la d\u00e9tection des tendances disruptives dans l\u2019industrie ferroviaire en utilisant des techniques d\u2019apprentissage automatique non supervis\u00e9. Cette approche permet d\u2019identifier &#8230; <a class=\"read-more\" href=\"https:\/\/ijodir.com\/index.php\/la-revue\/volume-8-n32025\/v8_32025_1\/\">Lire la suite<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":281,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/pages\/287"}],"collection":[{"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/comments?post=287"}],"version-history":[{"count":2,"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/pages\/287\/revisions"}],"predecessor-version":[{"id":300,"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/pages\/287\/revisions\/300"}],"up":[{"embeddable":true,"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/pages\/281"}],"wp:attachment":[{"href":"https:\/\/ijodir.com\/index.php\/wp-json\/wp\/v2\/media?parent=287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}