This work deals with an original problem with regard to the traditionally sequential planning process in public transit networks. This problem aims at modifying the network's ...
This paper introduces a new tabu search algorithm for a strip packing problem. It integrates several key features: A consistent neighborhood, a fitness function including problem k...
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...
It is desirable to ensure that the thermal comfort conditions in offices are in line with the preferences of occupants. Controlling their offices correctly therefore requires the c...
Abstract. In this paper, we describe a framework for integrating workflow modelling techniques with a knowledge management approach that enables us to represent the problem-solving...
Juan Carlos Vidal, Manuel Lama, Alberto Bugar&iacu...
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
Abstract. New learning methods are emerging in order to improve and facilitate the use of communication and informatics technologies both by students and professors. This paper des...
Behavior generation in humans and animals usually employs a combination of bottom-up and top-down patterns. Most available robotic architectures utilize either bottom-up or top-dow...
In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange Multiplier testing framew...