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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 ...
Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)
In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...
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 ...
Meta-Heuristics for Solving the Software Component Allocation Problem
(Institute of Electrical and Electronics Engineers Inc., 2020)
The software component allocation problem is concerned with mapping a set of software
components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This ...
Test case prioritization for model transformations
(King Saud bin Abdulaziz University, 2021)
The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ...
A framework for the regression testing of model-to-model transformations
(Wroclaw University of Science and Technology, 2021)
Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...
A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning
(MDPI, 2022)
Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...
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, ...