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The purpose of this paper is to present a modified PSO (particle swarm optimization) algorithm applied to the complex dynamic environment. The algorithm presented is referred as improved adaptive particle swarm optimizer (IAPSO). A new variable-"activity factor" and distributed responding method are introduced by IAPSO. Several experiments based on complex(More)
In this paper, we propose a novel classification method for the four types of lung nodules, i.e., well-circumscribed, vascularized, juxta-pleural, and pleural-tail, in low dose computed tomography scans. The proposed method is based on contextual analysis by combining the lung nodule and surrounding anatomical structures, and has three main stages: an(More)
In this paper, a feature-based imaging classification method is presented to classify the lung nodules in low dose computed tomography (LDCT) slides into four categories: well-circumscribed, vascularized, juxta-pleural and pleural-tail. The proposed method focuses on the feature design, which describes both lung nodule and surrounding context information,(More)
Recent years, social networks are popular throughout the whole world. In China in particular, more people spend their time on social networks. Sina Weibo, as the most popular microblogs in China, records millions of microblogs from different population. In this paper, we study and understand sentimental feelings of Weibo by methods of mathematical(More)
In folksonomy, different users perform diverse tagging behaviors. Although many works have been reported on folksonomy based taxonomy construction, few attentions have been paid to the data preparation for the construction from the behavior perspective. To ensure constructing taxonomy with qualified folksonomy, a method is proposed in the paper to find(More)
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