Titlebook: Computer and Information Science 2021—Summer; Roger Lee Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license

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A Comparative Study of Vectorization Approaches for Detecting Inconsistent Method Names,ce, the name of a method should be a summary of what the method does. There has been a study utilizing Word2Vec, Doc2Vec, and the convolutional neural network (CNN) to evaluate the consistency between a method’s name and body in an automated way. While the conventional evaluation procedure detects i

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Heart Sound Segmentation Based on a Joint HSMM Method,d a semantic segmentation model and a time series probability model based on U-Net and HSMM respectively, and fusion model results by average consistency. The proposed method are conducted on various datasets, including the publicly available PhysioNet and a children heart sound dataset collected by

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A Novel Authentication System for Artwork Based on Blockchain,because the integrity of artwork information and the authenticity of artwork are crucial factors for the price of artwork. The blockchain supports these properties well. However, existing services based on blockchain in art domain could not address the problem so called, blockchain air gap, between

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The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach, advantage in sentiment analysis, which presents a higher accuracy (99.87%) than the sentiment lexicon-based method (94.57%). Taking the delay impact of stockholders’ sentiments on the stock trend into account, this research discusses the correlation between current investor sentiments and stock mar

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KnowGraph-PM: A Knowledge Graph Based Pricing Model for Semiconductor Supply Chains,er order data. The pricing algorithm is realized as a SPARQL query that relies on customer profile and order behavior to determine the corresponding price premium. We evaluate the approach by calculating the revenue generated after applying the pricing algorithm. Based on competency questions that t