This paper presents the detection and classification part of an industrial machine for automated assembly of decorative tessellae over patterned tiles that have significant reliefs...
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
This paper presents a time bounded real-time agent, the core of a Multi-agent System aimed at managing the security in manufacturing environments, where time constraints are a key ...
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval approach using semantic features of images. Content based image retrieval and class...
In the proposed work a method for generating HDR images based on exposure blending is described. Using three differently exposed images a single image with recovered details in sha...
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Swarm Intelligence has been a successful approach to solve some combinatorial problems through the metaphor of interacting evolving individuals of a a population P in a closed toru...
The ability for a user to accurately estimate the amount of trust to be placed in a peer user is gaining more and more attention in social network applications. Trust aggregation p...
Nele Verbiest, Chris Cornelis, Patricia Victor, En...
In the last few years, the application of ICT technologies in automotive field has taken an increasing role in improving both the safety and the driving comfort. In this context, s...
Lorenzo Ciardelli, Andrea Beoldo, Francesco Pasini...