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Automatic tools for assisting patent engineers or decision makers in patent analysis are in great demand.
The software provided automatic tools for removing 'defects' such as spikes or holes in the point cloud generated by the scanner.
Due to the increase in audiovisual content, it becomes necessary to use automatic tools for different tasks such as analysis, indexation, search, and information retrieval.
The impact and the propagation of such delays can be mitigated by relying on automatic tools for rescheduling traffic in real-time.
Through this case study, the knowledge model will be presented, and automatic tools for optimizing the knowledge representation for planning systems and execution systems will be discussed.
The particularity of our approach aims at proposing a high-level framework for FPGA-based image processing to provide user guidance and automatic tools for designing and implementing complex image processing applications.
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This study addresses this aspect by providing an automatic tool for optimising the grid for solution accuracy.
Here we describe a new in silico automatic tool for structure-based lead optimization, termed LEADOPT.
The proposed method is an automatic tool for SS design since it does not require any prior knowledge concerning the structure (e.g. the number of rules) and the database (e.g. antecedent fuzzy sets) of the T S fuzzy model, and concerning the selection of the adequate input variables and their respective time delays for the prediction setting.
GOtcha, developed by Martin and colleagues [20], may be considered the first automatic tool for function prediction which takes advantage of a weighting scheme based on term-specific probability measures of confidence, but it does not consider the semantic similarities among retrieved terms.
PolyPhen (= Polymorphism Phenotyping) is an automatic tool for prediction of possible impact of an amino acid substitution on the structure and function of a human protein.
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