The Baltic Dry Index (BDI) is a commonly utilized indicator of global shipping and trade
activity. It influences stakeholders' and ship-owners' decisions respecting investments …

Purpose-This study provides useful information to stakeholders by forecasting the tramp
shipping market, which is a completely competitive market and has a huge fluctuation in …

Shipping indices are extremely volatile, non-stationary, unstructured and non-linear, and
more difficult to forecast than other common financial time series. Based on the idea of" …

Time-series clustering remains a challenge in data mining. Although novel deep-learning-
based representation learning integrated with deep clustering methods have considerably …

This work combines metallurgical thermodynamics and kinetics to train a high-accuracy and
low-cost deep neural network (DNN) prediction model for hydrogen content in vacuum …

Deep neural networks (DNNs) were shown to be vulnerable to adversarial examples which
contain small perturbations. Attacks based on adversarial examples can be classified as …

The Baltic Capesize Index (BCI), which is used as an indicator for marine transportation of
steel raw materials, is one of the key economic indexes for managing the risk of loss due to …

Abstract The Baltic Capesize Index (BCI), which is used as an indicator for marine
transportation of steel raw materials, is one of the key economic indexes for managing the …

In port container terminals, loading and unloading are the most important operations. Their
lateness will be costly for both vessel and terminal owners. Moreover, port operations are …

Les technologies de la traduction ont connu un véritable essor ces dernières années. Les
progrès de la traduction automatique sont nombreux: intégration de cette dernière à des …