AN ECG COMPRESSION APPROACH BASED ON A SEGMENT DICTIONARY AND BEZIER APPROXIMATIONS (2008)
M. Brito, J. Henriques, P. Carvalho, B. Ribeiro, M. Antunes
This paper proposes a methodology for ECG (electrocardiograms) data compression based on R-R segmentation. An ECG can be seen as a quasi-periodic signal, where it is possible to find many...
VoIP Management Based on Extended ITU-T H.341 MIB Objects for Monitoring the Speech QoS (2008)
Ana Flávia, Marinho Lima, Francisco Raphael, B. Ribeiro, Wellington Albano
Abstract — Monitoring calls controlled by a gatekeeper in a voice over IP (VoIP) environment enables call management itself and the related speech QoS. The acquired information can be used to...
Marquardt algorithm (LM), the Resilient Backpropogation (2008)
S. Mukkamala, G. D. Tilve, A. H. Sung, B. Ribeiro, A. S. Vieira
Abstract: In this paper we apply several computational intelligence techniques to the problem of bankruptcy prediction of medium-sized private companies. Financial data was obtained from Diana, a...
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks Abstract (2007)
N. Costa, A. Cunha, B. Ribeiro
Plastics are nowadays one of the most used materials in several industries. From domestic tools up to the automotive industry, there is an enormous number of possible applications. The pressures...
(Draft Paper) This paper discusses an industrial application of a neural network based automatic scheme for fault detection and diagnosis. Faults in a lime kiln are isolated and detected, using two...
Fault Detection in a Thermoplastic Injection Molding Process using Neural Networks Abstract (2007)
Injection molding technology should assure a high level of quality control of the molded parts in an automated way. Inherent complexities of the process make mathematical modeling di¢cult, hindering...
Integrated Process Supervision and Control by Neural Networks in an Industrial Lime Kiln (2007)
The focus of this paper is in the use of connectionist systems in the area of on-line process supervision and control. A survey of current literature [1] reveals that process supervisison has the...
P. Carvalho, N. Costa, B. Ribeiro, A. Dourado
Detection of elliptical shapes is of extreme importance in several computer vision ap-plications. In this paper a new method for irregular elliptical shapes localization in multi-connected regions is...
P. Carvalho, N. Costa, B. Ribeiro, A. Dourado
Abstract- Detection of elliptical shapes is of extreme importance in several computer applications. In this paper we describe a new method for highly irregular elliptical object localisation based on...
Real-time Adaptive Training of RBFNN using a Selective Forgetting Algorithm (2007)
C Pereira, J Henriques, B Ribeiro, A Dourado Correia
In this work, we investigate the real-time identification problem of dynamic non-linear systems using a neural network approach. The neural network model structure is chosen to be the Gaussian Radial...
Characteristics of youth soccer players aged 13-15 years classified by skill level (2007)
Malina, R. M., Ribeiro, B., Aroso, J., Cumming, S. P.
Objective: To evaluate the growth, maturity status and functional capacity of youth soccer players grouped by level of skill. Subjects: The sample included 69 male players aged 13.2-15.1 years from...
On the Performance of Learning Machines for Bankruptcy Detection (2004)
A. S. Vieira, B. Ribeiro, S. Mukkamala, J. C. Neves, A. H. Sung
Abstract — Predicting the financial health of companies is a problem of great importance to various stakeholders in the increasingly globalized economy. We apply several learning machines methods...
In engineering systems, early detection of the occurrence of faults is critical in avoiding product defects. This problematic is here discussed in the framework of an industrial process, namely, an...
Industrial visual inspection of lime balls by neural networks (1997)
P. Carvalho, N. Costa, B. Ribeiro, A. Dourado
Lime ball quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime ball...
Building User-driven Solutions for Decision-Making in Manufacturing (1996)
Mendonca, J.M., Ribeiro, B., Schulte, J., Weller, R., Santos, J.
Competitive production of the future will rely on knowledge, information management and decision making integrating computers and humans to the manufacturing process. Within this scenario, the major...
RBFNN for Real-Time Process Identification and Control with Selective Forgetting (1996)
C Pereira, J Henriques, B Ribeiro, A Dourado Correia
This work is concerned with the problem of the real-time identification and control of dynamic non-linear systems using a neural network approach. The chosen model was the Gaussian Radial Basis...