{"id":85624,"date":"2020-06-09T23:22:17","date_gmt":"2020-06-09T21:22:17","guid":{"rendered":"https:\/\/territorialchallenges.com\/?p=85624"},"modified":"2020-06-09T23:22:17","modified_gmt":"2020-06-09T21:22:17","slug":"lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19","status":"publish","type":"post","link":"https:\/\/territorialchallenges.com\/pt\/2020\/06\/09\/lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19\/85624\/","title":{"rendered":"Li\u00e7\u00f5es das microrredes para a crise da COVID-19"},"content":{"rendered":"

Trevor Gionet \u00e9 um cientista de algoritmos, e Kay Aikin dirige a Introspective Systems, uma empresa que desenvolve solu\u00e7\u00f5es tecnol\u00f3gicas para gerenciar sistemas complexos e oferece o software xGraph para an\u00e1lise de dados. Nesta publica\u00e7\u00e3o, eles explicam como achatar a curva da COVID-19 \u00e9 muito parecido com gerenciar a rede el\u00e9trica com\u2026 <\/p>\n

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Trevor Gionet est un scientifique sp\u00e9cialiste des algorithmes et Kay Aikin, dirige Introspective Systems, une soci\u00e9t\u00e9 qui d\u00e9veloppe des solutions technologiques pour g\u00e9rer des syst\u00e8mes complexes et propose le logiciel xGraph, pour analyser les donn\u00e9es. Dans cette contribution, ils expliquent comment l’aplatissement de la courbe COVID-19 ressemble beaucoup \u00e0 la gestion du r\u00e9seau avec les... <\/p>\n

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