A combined forecasting and packing model for air cargo loading : a risk-averse framework
Year of publication: |
2022
|
---|---|
Authors: | Tseremoglou, Iordanis ; Bombelli, Alessandro ; Santos, Bruno F. |
Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 158.2022, p. 1-27
|
Subject: | Air cargo loading | Deep neural networks | Extreme points | Knapsack problem | Prediction uncertainty | Unit load devices | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Luftfrachtverkehr | Air cargo transport | Theorie | Theory | Risiko | Risk | Ganzzahlige Optimierung | Integer programming |
-
The selection of an optimal segmentation region in physiological signals
Oliveira, Jorge, (2023)
-
Provably good solutions to the knapsack problem via neural networks of bounded size
Hertrich, Christoph, (2023)
-
Blind quantitative steganalysis using CNN-long short-term memory architecture
Singhal, Anuradha, (2020)
- More ...
-
Analysis of the air cargo transport network using a complex network theory perspective
Bombelli, Alessandro, (2020)
-
Auction-based coopetition in the landside air cargo supply chain
Alebeek, Sanne van, (2021)
-
A novel auction-based truck appointment system for marine terminals
Parmaksizoglou, Ilias Alexandros, (2024)
- More ...