Titlebook: Knowledge Technology; Third Knowledge Tech Dickson Lukose,Abdul Rahim Ahmad,Azizah Suliman Conference proceedings 2012 Springer-Verlag Berl

vitreous-humor

A Novel Image Segmentation Technique for Lung Computed Tomography Imagesidentify the lung nodules detection. It utilized fuzzy clustering method with evolutionary optimization of a population size several times lower than the one typically defined with genetic algorithms. The generation of an initial population spread throughout the search space promotes diversification

Culpable

使出神

Parallel Web Crawler Architecture for Clickstream Analysisults and the coverage and scaling issues. As a result, more robust algorithms needed to produce more precise and relevant search results in an appropriate timely manner. The existed Web crawlers mostly implement link dependent Web page importance metrics. One of the barriers of applying this metrics

偽證

indoctrinate

Tracking Multiple Variable-Sizes Moving Objects in LFR Videos Using a Novel genetic Algorithm Approat track objects that have variable sizes within frames duration efficiently. In this work, a novel multi-objective co-evolution genetic algorithm approach is developed that can efficiently track the variable size objects in low frame rate videos. We test our method on the famous PETS datasets in 10

addition

Completeness Knowledge Representation in Fuzzy Description Logicsless ambiguous process. Web Ontology Language (OWL) is based on all the knowledge representation formalisms of Description Logics (DLs) that has the W3C standard. DLs are the families of formal knowledge representation languages that have high expressive power in reasoning concepts. However, DLs are

真實的人

Random Forest for Gene Selection and Microarray Data Classificationelop and improve the random forest gene selection method. Hence, improved gene selection method using random forest has been proposed to obtain the smallest subset of genes as well as biggest subset of genes prior to classification. In this research, ten datasets that consists of different classes a

抵押貸款

A Novel Fuzzy HMM Approach for Human Action Recognition in Video is proposed and used in HAR. HMM fuzzification is used widely in some research areas such as speech recognition and medicine, but it is used in HAR rarely. To increase the classification performance and decrease information losing in vector quantization, a fuzzy approach is used in HMM implementati

慌張

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