Sequential artificial intelligence models to forecast urban solid waste in the city of Sousse, Tunisia
Haifa Jammeli, Riadh Ksantini, Fouad Ben Abdelaziz and Hatem Masri
| Year of publication: |
2023
|
|---|---|
| Authors: | Jammeli, Haifa ; Ksantini, Riadh ; Ben Abdelaziz, Fouad ; Masri, Hatem |
| Published in: |
IEEE transactions on engineering management : EM. - New York, NY : IEEE, ISSN 0018-9391, ZDB-ID 160438-7. - Vol. 70.2023, 5, p. 1912-1922
|
| Subject: | Artificial neural networks (ANNs) | bidirectional long short-term memory (BLSTM) | forecasting | long short-term memory (LSTM) | support vector machine (SVM) | urban solid waste (USW) | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Tunesien | Tunisia | Theorie | Theory | Prognose | Forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1109/TEM.2021.3081609 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014305548