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Introductory Survey to Open-Source Mobile Robot Simulation Software
TLDR
This paper presents a survey of the existing tools for mobile robot simulation and discusses their strengths and drawbacks in terms of simplicity, flexibility, fields of application, among other desirable features. Expand
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Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot
TLDR
In this paper we describe a fuzzy logic based approach for providing biologically based motivations to be used in evolutionary mobile robot learning. Expand
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Bioinformatics Integration Framework for Metabolic Pathway Data-Mining
TLDR
This paper investigates the problem of integrating heterogeneous applications and databases towards providing a more efficient data-mining environment for bioinformatics research. Expand
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Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining
TLDR
This paper describes a neural network based inference system developed as part of a bioinformatic application in order to help implement a systematic search scheme for the identification of genes which encode enzymes of metabolic pathways. Expand
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Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
TLDR
We propose using a GA with a dynamic penalty function to manage the rule size of the fuzzy inference system (FIS). Expand
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Application of Neural Networks and Meta-Learners to Recognize Beef from OTM Cattle by Using Volatile Organic Compounds
Cattle with age under 30 months (UTM) are usually slaughtered for human consumption to be not associated of the disease called mad cow. Though the age of the animal can generally be estimated byExpand
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Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation
TLDR
We identify and delineate overlapping codon and noncodon structures in a deoxyribonucleic acid (DNA) complex so as to ascertain the boundary of separation between them. Expand
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Redundancy Attributes of a Complex System: Application to Bioinformatics
TLDR
In general, a complex system consists of a large number of interacting units, which when viewed in an information-theoretic perspective, could be seen to possess gross redundant features. Expand
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Meta-learning Based Optimization of Metabolic Pathway Data-Mining Inference System
TLDR
This paper describes a novel meta-learning (MTL) based methodology used to optimize a neural network based inference system for the identification of genes which encode enzymes of metabolic pathways. Expand
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Inference system using softcomputing and mixed data applied in metabolic pathway datamining
TLDR
This paper describes the development of an inference system used for the identification of genes that encode enzymes of metabolic pathways. Expand
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