Ditapis dengan
Hybrid approaches based on SARIMA and artificial neural networks for inspecti…
In this paper, the number of goods subject to inspection at European Border Inspections Post are predicted using a hybrid two-step procedure. A hybridization methodology based on integrating the data obtained from autoregressive integrated moving averages (SARIMA) model in the artificial neural network model (ANN) to predict the number of inspections is proposed. Several hybrid approaches are c…
- Edisi
- -
- ISBN/ISSN
- 1366-5545
- Deskripsi Fisik
- 13 p.
- Judul Seri
- Transportation Research Part E
- No. Panggil
- ATC PO LAR h
Automatic target recognition for naval traffic control using neural networks
Safety requirements in traffic control stress the importance of techniques devoted to automatic tracking of little crafts in harbor areas. Changeable sceneries and noise variability make hard the recognitions task of an automatic target recognition system. In this paper, a modular system based on neural networks for the quasi real time detection of moving targets in seaport radar images is prop…
- Edisi
- -
- ISBN/ISSN
- 0262-8856
- Deskripsi Fisik
- 7 p.
- Judul Seri
- -
- No. Panggil
- ATC PO LLO a
Analysis and forecasting of port logistics using TEI@I methodology
This paper presents an integrated forecasting model based on the TEI@I methodology for forecasting demand for port logistics services – specifically, port container throughput. The model analyzes port logistics time series data and other information in several steps. In the first step, several econometric models are built to forecast the linear segment of port logistics time series. In the se…
- Edisi
- Vol. 36, No. 8, 685–702
- ISBN/ISSN
- -
- Deskripsi Fisik
- 20 p.
- Judul Seri
- Transportation Planning and Technology
- No. Panggil
- ATC LO WAN a
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