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Xingxing Tong, Ming Chen and Guofu Feng
The issue of aquatic product quality and safety has gradually become a focal point of societal concern. Analyzing textual comments from people about aquatic products aids in promptly understanding the current sentiment landscape regarding the quality and...
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Jing Liu and Yong Zhong
As a structural indicator of dense subgraphs, k-core has been widely used in community search due to its concise and efficient calculation. Many community search algorithms have been expanded on the basis of k-core. However, relevant algorithms often set...
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Jeong-Sik Park and Na Geng
Most conventional speech recognition systems have mainly concentrated on voice-driven control of personal user devices such as smartphones. Therefore, a speech recognition system used in a special environment needs to be developed in consideration of the...
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Stefano Ferilli, Eleonora Bernasconi, Davide Di Pierro and Domenico Redavid
With the progressive improvements in the power, effectiveness, and reliability of AI solutions, more and more critical human problems are being handled by automated AI-based tools and systems. For more complex or particularly critical applications, the l...
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Neelakandan Subramani, Sathishkumar Veerappampalayam Easwaramoorthy, Prakash Mohan, Malliga Subramanian and Velmurugan Sambath
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social activities and regional or international actual occurrences. Twitter and other platforms have gained popularity because they allow users to submit information, links, ...
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Rui Zhang, Chengrong Xue, Qingfu Qi, Liyuan Lin, Jing Zhang and Lun Zhang
The enrichment of social media expression makes multimodal sentiment analysis a research hotspot. However, modality heterogeneity brings great difficulties to effective cross-modal fusion, especially the modality alignment problem and the uncontrolled ve...
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Liliya Demidova, Dmitry Zhukov, Elena Andrianova and Vladimir Kalinin
To solve the problem of text clustering according to semantic groups, we suggest using a model of a unified lexico-semantic bond between texts and a similarity matrix based on it. Using lexico-semantic analysis methods, we can create ?term?document? matr...
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Federica Monaco, Sergio Coluccia, Arturo Cuomo, Davide Nocerino, Daniela Schiavo, Gilda Pasta, Francesca Bifulco, Pasquale Buonanno, Vittorio Riccio, Marianna Leonardi, Francesco Perri, Alessandro Ottaiano, Francesco Sabbatino, Alessandro Vittori and Marco Cascella
Background: Percutaneous electrical nerve stimulation (PENS) is a minimally invasive peripheral neuromodulation approach implemented against chronic neuropathic and mixed pain. This bibliometric study aims to quantitatively evaluate the output of PENS fo...
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Yuxin Zhang, Shumian Yang, Lijuan Xu, Xin Li and Dawei Zhao
As the amount of malware has grown rapidly in recent years, it has become the most dominant attack method in network security. Learning execution behavior, especially Application Programming Interface (API) call sequences, has been shown to be effective ...
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Qianmu Xiao and Liang Zhao
Acquiring relevant, high-quality, and heterogeneous medical images is essential in various types of automated analysis, used for a variety of downstream data augmentation tasks. However, a large number of real image samples are expensive to obtain, espec...
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