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Chapter and Conference Paper
Internal Drive Regulation of Sensorimotor Reflexes in the Control of a Catering Assistant Autonomous Robot
We present an autonomous waiter robot control system based on the reactive layer of the Distributed Adaptive Control (DAC) architecture. The waiterbot has to explore the space where catering is set and invite ...
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Chapter and Conference Paper
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
Diagnosis of neurologic and neuropsychiatric disorders typically involves considerable assessment including clinical observation, neuroimaging, and biological and neuropsychological measurements. While it is r...
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Chapter and Conference Paper
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System
The human visual system demonstrates powerful image processing functionalities. Inspired by the visual system, a spiking neural network is proposed to segment visual images. The network is constructed in the t...
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Chapter and Conference Paper
Multilingual Discussion in Metaverse among Students from the USA, Korea and Japan
E-learning continues to be used as an educational tool all over the world. However, the typical e-learning systems are sometimes not enough for students to feel a close connection with others. Now engineering ...
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Chapter and Conference Paper
Coloured Petri Net Diagnosers for Lumped Process Systems
A model-based method is proposed in this paper for algorithmic generation of diagnosers in coloured Petri net (CPN) form from characteristic input-output traces obtained from a qualitative model of lumped proc...
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Chapter and Conference Paper
An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge
In recent years, ontologies have become an essential tool to structure and reuse the exponential growth of information in the Web. As the number of publicly available ontologies increases, researchers face the...
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Chapter and Conference Paper
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)
Data fusion originally referred to the process of combining multi-sensor data from different sources such that the resulting information/model is in some sense better than would be possible when these sources ...
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Chapter and Conference Paper
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is difficult to monitor the student...
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Chapter and Conference Paper
Incremental Induction of Classification Rules for Cultural Heritage Documents
This work presents the application of a first-order logic incremental learning system, INTHELEX, to learn rules for the automatic identification of a wide range of significant document classes and their relate...