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Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 81 to 90 of 200:
22 Jul 2009
This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event representation (AER) ...
rec_pub_19635693-caviar-45k-neuron-5m-synapse-12g-connects-s-aer-hardware-sensory.htm
22 Jul 2009
In this paper, we present the pattern recognition methods proposed to classify respiratory sounds into normal and wheeze classes. We evaluate and compare the feature extraction techniques based on Fourier transform, linear predictive coding, wavelet ...
rec_pub_19631934-pattern-recognition-methods-applied-respiratory-sounds-classification.htm
Enzyme classification with peptide programs: a comparative study.
22 Jul 2009
BACKGROUND: Efficient and accurate prediction of protein function from sequence is one of the standing problems in Biology. The generalised use of sequence alignments for inferring function promotes the propagation of errors, and there are limits to ...
rec_pub_19630945-enzyme-classification-peptide-programs-comparative-study.htm
22 Jul 2009
Kinases are heavily pursued pharmaceutical targets because of their mechanistic role in many diseases. Small molecule kinase inhibitors (SMKIs) are a compound class that includes marketed drugs and compounds in various stages of drug development. ...
rec_pub_19629159-identification-kinase-profile-predicts-chromosome-damage-induced.htm
Fuzzy associative conjuncted maps network.
22 Jul 2009
The fuzzy associative conjuncted maps (FASCOM) is a fuzzy neural network that associates data of nonlinearly related inputs and outputs. In the network, each input or output dimension is represented by a feature map that is partitioned into fuzzy or ...
rec_pub_19635694-fuzzy-associative-conjuncted-maps-network.htm
21 Jul 2009
Agent-based simulations are rule-based models traditionally used for the simulations of complex systems. In this paper, an algorithm based on the concept of agent-based simulations is developed to predict the lowest energy packing of a set of ...
rec_pub_19569637-an-artificial-intelligence-approach-modeling-molecular-self-assembly.htm
21 Jul 2009
A pharmacophore model, Hypo1, was built on the basis of 21 training-set indole compounds with varying levels of antiproliferative activity. Hypo1 possessed important chemical features required for the inhibitors and demonstrated good predictive ...
rec_pub_19507860-generation-ligand-based-pharmacophore-model-virtual-screening.htm
The brain-computer interface cycle.
20 Jul 2009
Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the ...
rec_pub_19622847-the-brain-computer-interface-cycle.htm
19 Jul 2009
A model of time-delay recurrently coupled spatially segregated neural assemblies is here proposed. We show that it operates like some of the hierarchical architectures of the brain. Each assembly is a neural network with no delay in the local ...
rec_pub_19629517-stability-switches-oscillatory-multistability-spatio-temporal.htm
Advances in neural networks research: an introduction.
16 Jul 2009
The present Special Issue "Advances in Neural Networks Research: IJCNN2009" provides a state-of-art overview of the field of neural networks. It includes 39 papers from selected areas of the 2009 International Joint Conference on Neural Networks ...
rec_pub_19632811-advances-neural-networks-research-introduction.htm
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