An Agent-Based Ship Firefighting Model

Agent-Based Approach for Ship Damage Control

We here introduce a Multi-Agent System (MAS) approach for solving the crew resources assignment problem whenever a ship, under attack, suffers several damages and, thus, priorities must be assigned in order for it to survive. In the designed system, the ship is the MAS environment and the attacker, equipment, crew and officers (these last ones seen as decision makers) are represented through ag...

Model based ISAR ship classification

This paper presents an investigation of ISAR image classification based on a comparison of range-Doppler imagery to 3D ship reference models. This comparison is performed in the image domain by estimating the motion of a sequency of ISAR images, generating 3D reference models corresponding to the same motion and matching the models with the given ISAR images. The effect of estimation error in t...

An Agent Based Classification Model

The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS)...

Revenue management and seller pricing decisions in retail industry: An agent-based model

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...