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Several techniques before fluorescence based techniques such as enzyme-based and gold-based probe systems were also used in the past [ 16].
This problem is resolved when neural network based techniques such as internal model control (IMC) are applied to the real systems.
To this end new artificial intelligence based techniques such as fuzzy logic, neural networks and probabilistic reasoning, are becoming more and more popular.
Information retrieval based techniques, such as topic identification by means of Latent Semantic Analysis, are used to identify the topic in a recognized transcription of an audio segment.
Evolutionary algorithm based techniques such as for particle swarm optimization (PSO) and genetic algorithms (GA) have been found to be very effective for groundwater optimization problems.
First, unlike probe based techniques such as fluorescence in-situ hybridization (FISH), pyrosequencing allows the determination of the entire phylogenetic spectrum of the bacterial populations in one single analysis.
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Summary: Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure.
Comparison is performed against watershed-based techniques such as marker-based watershed, IV and GFT (Li et al., 2007) based on the availability of the source code.
Pseudo-hard and -soft data are prepared from production-based techniques, such as ensemble-based methods.
Special emphasis is placed on ligand-based techniques such as pharmacophore, QSAR, and proteochemometric modeling.
Implementation of evidence-based techniques, such as explicit computerized protocols, has achieved limited success among clinicians.
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