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In order to robustly perform tasks based on abstract instructions, robots need sophisticated knowledge processing methods.
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Relevant research topics in medical informatics are: comprehensive electronic patient records, modern health information system architectures, architectures for medical knowledge centers, specific data processing methods ('medical data mining'), and multi-functional, mobile ICT tools.
When considering semantics-concerned text mining, we believe that this lack can be filled with the development of good knowledge bases and natural language processing methods specific for these languages.
The challenge will be to further increase our understanding of the role of endophytes on vanilla flavor and translate this knowledge to improve cultivation and processing methods.
We extend signal processing methods to unify knowledge of acoustic, linguistic, physiological and cognitive models into a knowledge-based model of lexical access, and test the system as a model of human speech perception by determining its robustness to contextual variation and its breakdown in the same ways as human speech processing.
The method has the potential to facilitate efficient and repeatable acquisition of biomechanical data of broiler chickens during feeding, and be used to benchmark the feed physical properties and its processing methods, likewise evolving knowledge for futures studies in feeders' design.
We connect general knowledge with the "frame problem," a fundamental issue of artificial intelligence, and individual knowledge with another important paradigm of artificial intelligence, case-based reasoning, a method of individual knowledge processing that aims at solving new problems based on the solutions to similar past problems.
Both ClBR and EbCA-DEA may be regarded as hybrid or mixed qualitative-quantitative techniques (knowledge management, knowledge engineering and data analysis) which combine classical data analysis techniques and AI methods that permit prior knowledge processing [ 30].
The fact that all these issues remain largely unsolved, can only help the case for CBR and for adaptive, empirical methods and approaches to knowledge processing.
Even more than the occasional extension of the "parts-list" from our growing knowledge, technical development continually generates new data types, processing methods and experimental conditions.
Consequently, effective and efficient data processing methods for geospatial information extraction and knowledge discovery over the Web are a major challenge for research and industry.
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CEO of Professional Science Editing for Scientists @ prosciediting.com