نتایج جستجو برای: recognition tools
تعداد نتایج: 510018 فیلتر نتایج به سال:
EVALITA is a recent initiative devoted to the evaluation of Natural Language and Speech Processing tools for Italian. In this work, the results of three open source ASR toolkits will be described. CSLU Speech Tools, CSLR SONIC, CMU SPHINX are applied on the EVALITA clean and noisy digits recognition task and this report will describe the complete evaluation methodology. CSLR SONIC has resulted ...
To extract decision from huge amount of data is tedious work. And for this now days various data mining tools are available in market which are focused of data mining techniques to find pattern recognition and able to support decision making process using these tools. In this paper we are discussing some research papers on the students progression based on their performance.
The aim of the research is to determine objectives recognition in EHEA between 1998-2018 and reveal aspects open development. Data study was obtained through document analysis communiques adopted Ministerial Conferences. Results research: adoption three cycle system; comparable readable degrees; use EAR Manual; mutual are important. Implementation LRC helps facilitate qualifications higher educ...
Drug and health literacy is a key determinant of health outcomes. There are several tools to assess drug and health literacy. The objective of this article is to determine drug literacy level and its relationships with other factors using a single screening tool. A cross- sectional survey was conducted among 1104 people in Qazvin province, Iran. Based on the proportional-to-size method, partici...
We propose a novel ensemble approach chemical named entity recognition (CNER) tool that uses different CNER tools such as OSCAR4 and ChemSpot with different characteristics by using machine learning (ML) technique. Since this tool may identify typical errors of one CNER by using other tools’ output, our system outperforms ChemSpot (ML-based) and OSCAR4 (rule-based) in original setting.
many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...
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