Pattern and process
Biological diversity of fish communities : pattern and process
... FUTURE DIRECTIONS This review has highlighted just a few of the topics under the general heading of community structure that are readily explored using data from fish assemblages. In doing so the present study has tried ...
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Pattern and process in the evolution of the sole dioecious member of Brassicaceae
... Abstract Background: Lepidium sisymbrioides, a polyploid New Zealand endemic, is the sole dioecious species in Brassicaceae and therefore the closest dioecious relative of the model plant Arabidopsis thaliana. The ...
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Design and Experimentation of 3D Printed Pattern and Wooden Pattern for Sand Casting Process
... for pattern making but hasn’t generally opted as a popular alternative to conventional/traditional casting ...in pattern production, reduce the cost and time ...prototyping pattern would have an ...
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Gaussian Process Kernels for Pattern Discovery and Extrapolation
... 1. Introduction Machine learning is fundamentally about pattern dis- covery. The first machine learning models, such as the perceptron (Rosenblatt, 1962), were based on a simple model of a neuron (McCulloch & ...
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Gaussian Process Kernels for Pattern Discovery and Extrapolation
... 1. Introduction Machine learning is fundamentally about pattern dis- covery. The first machine learning models, such as the perceptron (Rosenblatt, 1962), were based on a simple model of a neuron (McCulloch & ...
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Pattern Recognition Process, Methods and Applications in Artificial Intelligence
... representation. Pattern recognition is the ability to detect arrangements of characteristics or data that yield information about a given system or data ...of pattern recognition algorithms to isolate ...
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Healthcare Process Pattern Analysis with Triage in the Emergency Department
... room process is very important in the whole hospital processes because it is first diagnosis for ...treatment process pattern by triage ...treatment process after triage such as residence ...
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Efficient Process Model Discovery Using Maximal Pattern Mining
... years, process mining has become one of the most important and promising areas of research in the field of business process management as it helps businesses to understand, analyze, and improve their ...
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Scalable Hierarchical Gaussian Process Models for Regression and Pattern Classification
... Gaussian process (GP) models are powerful non-parametric tools for Bayesian regression and pattern ...Gaussian process models for re- gression and classification that effectively combine the ...
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EXTENDING BUSINESS PROCESS MODELING TOOLS WITH WORKFLOW PATTERN REUSE
... unidirectional pattern This mapping captures the semantics of the pat- tern represented in UML activity diagram ...this process and which are related to the parameter defi- nition and activity request ...
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Enhancing Parallel Pattern Search Optimization with a Gaussian Process Oracle
... To accomplish these goals, we are using ideas from the design of computer experiments literature and using random functions to model the deterministic computer output function. We treat the output of the simula- tions as ...
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Optimization of Process Parameters of Wax Pattern in the Investment Casting Process by using Different Form of Waxes
... In the present study, an attempt has been made to produce a wax blend which could offer minimum linear and volumetric shrinkage and better surface finish. Experiments were conducted with different types of waxes namely ...
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Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network
... production process, regardless of how well designed or carefully maintained it is, a certain amount of inherent or natural variability will always ...A process that is operating with only chance causes of ...
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Performance Analysis of ANN on Dataset Allocations for Pattern Recognition of Bivariate Process
... abnormal pattern has been most intensively studied and used in ...multivariate process mean ...in pattern recognition of bivariate process using six selected training ...for pattern ...
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Effect of Training Algorithms on the Performance of ANN for Pattern Recognition of Bivariate Process
... thorough pattern recognition study through training, validation and testing of the ANN model using the training algorithms required large multivariate correlated samples which ideally ought to be collected from ...
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Pattern Recognition of Process Mean Shift using Combined ANN Recognizer
... Osun state, Nigeria ABSTRACT Artificial Neural Network (ANN) based model has been proposed for diagnosis of process mean shift. These are mainly generalized-based where only a single classifier was applied in the ...
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Recycling of Pattern Wax In The Investment Casting Process Using Microwave Dewaxing
... casting process the use of microwave is steadily growing in industrial ...casting process using microwave ...any pattern as it some times decreasing and some time ...
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DISCOVERY AND ANALYSIS OF ACTIVITY PATTERN CO- OCCURRENCES IN BUSINESS PROCESS MODELS
... a Process Model Mining Tool Based on the recurrent activity patterns found in the mining phase, our BPM mining tool creates all rules of interest with their respective support and ...partial process model ...
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Pattern Normalization/Template Optimization in Order To Optimize Speech Recognition Process
... The pattern/template normalization technique using average template technique: As mentioned earlier, the overall process of an Average Template technique involves using a number of samples initially to ...
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A Pattern Language for Process Execution and Integration Design in Service-Oriented Architectures
... Abstract. Process-driven SOAs are using processes to orchestrate ...non-trivial process-driven SOA involves many difficult design and architectural ...realistic process-driven SOA contains many ...
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