Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus Springer Nature eBooks kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

A Deep Learning Approach for Supply Chain Risk Prediction

Title: A Deep Learning Approach for Supply Chain Risk Prediction
Authors: Iqbal, MuneebaAff22; Khattak, Asad MasoodAff23; Raza, Muhammad AliAff22; Asghar, Muhammad JunaidAff24; Asghar, Muhammad ZubairAff22
Contributors: Akan, Ozgur, Editorial Board MemberAff1; Bellavista, Paolo, Editorial Board MemberAff2; Cao, Jiannong, Editorial Board MemberAff3; Coulson, Geoffrey, Editorial Board MemberAff4; Dressler, Falko, Editorial Board MemberAff5; Ferrari, Domenico, Editorial Board MemberAff6; Gerla, Mario, Editorial Board MemberAff7; Kobayashi, Hisashi, Editorial Board MemberAff8; Palazzo, Sergio, Editorial Board MemberAff9; Sahni, Sartaj, Editorial Board MemberAff10; Shen, Xuemin, Editorial Board MemberAff11; Stan, Mircea, Editorial Board MemberAff12; Jia, Xiaohua, Editorial Board MemberAff13; Zomaya, Albert Y., Editorial Board MemberAff14; Kamoun, Faouzi, editorAff15; Bettaieb, Lamjed, editorAff16; Belqasmi, Fatna, editorAff17; Hachani, Abderrazek, editorAff18; Baker, Thar, editorAff19; Tabaa, Mohamed, editorAff20; Adeleke, Adekunle, editorAff21
Source: Emerging Technologies for Developing Countries : 8th EAI International Conference, AFRICATEK 2025, Tunis, Tunisia, June 11–13, 2025, Proceedings, Part I. 676:115-130
Database: Springer Nature eBooks