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Real-time violent action recognition using key frames extraction and deep learning
(Tech Science Press, 2021)
Violence recognition is crucial because of its applications in activities
related to security and law enforcement. Existing semi-automated systems have
issues such as tedious manual surveillances, which causes human ...
Extending UML use case diagrams to represent non-interactive functional requirements
(Wroclaw University of Science and Technology, 2020)
Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ...
Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures
(Hindawi Limited, 2022)
The social media has made the world a global world and we, in addition to, as part of physical society, are now part of the virtual society as well. There has been the generation of a large amount of information over the ...
Association Rule Analysis-Based Identification of Influential Users in the Social Media
(Tech Science Press, 2022)
The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. ...
Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification
(Institute of Electrical and Electronics Engineers Inc., 2023)
Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
(Tech Science Press, 2023)
Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...