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ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
16 years 21 days ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
AINA
2007
IEEE
16 years 1 months ago
A Real-Time Scheduling Algorithm with Buffer Optimization for Embedded Signal Processing Systems
Embedded signal processing system is a typical type of application in embedded domain. Such systems typically have requirements on high real-time responsiveness and large buffer c...
Nan Guan, Mingsong Lv, Qingxu Deng, Ge Yu
ICANN
2001
Springer
15 years 11 months ago
Scalable Kernel Systems
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
Volker Tresp, Anton Schwaighofer
PERCOM
2007
ACM
16 years 6 months ago
Designing Ubiquitous Computing Systems for Sports Equipment
In this paper, we report on a user-centered, iterative design process for augmenting sports equipment with ubiquitous computing technology. In several design iterations, a fully w...
Matthias Kranz, Wolfgang Spiessl, Albrecht Schmidt
CASDMKM
2004
Springer
157views Data Mining» more  CASDMKM 2004»
16 years 1 days ago
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
Shouyang Wang, Lean Yu, Kin Keung Lai