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Found 5 papers, 2 papers with code
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
In the feature extraction component, a new Voronoi-based method is developed for determining the local regions associated with each person in the input video.
Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives
In this paper, we present our work on a cooperative-legal question-answering LLM-based chatbot, where we developed a set of legal questions about Palestinian cooperatives, associated with their regulations and compared the auto-generated answers by the chatbot to their correspondences that are designed by a legal expert.
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
In this paper, we propose a cloud-based deep learning framework for automatic early detection of pushing in crowded event entrances.
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search
In this article, we explore the combination of multiple extrinsic semantic resources in the development of a full-fledged medical information search framework to: i) highlight and expand head medical concepts in verbose medical queries (i. e. concepts among query terms that significantly contribute to the informativeness and intent of a given query), ii) build semantically enhanced inverted index documents, iii) contribute to a heuristical weighting technique in the query document matching process.
Coupling semantic and statistical techniques for dynamically enriching web ontologies
With the development of the Semantic Web technology, the use of ontologies to store and retrieve information covering several domains has increased.
