… Extracting relational triples from unstructured text is crucial for large-scale knowledge graph
… to revisit the relational triple extraction task and propose a novel cascade binary tagging …

… [24] presented a novel approach for CBIR that is based on MPEG-7 descriptor. Eight dominant
colors from each image are selected, features are measured by the histogram intersection …

… many different approaches. Most of these approaches use predefined features extracted by
… learning-based approach which integrates both feature extraction and classification phases …

… Additionally a majority rule was suggested as a novel approach. The best performance in
the paper was presented as 98.96%. Nour, Cömert and Polat [38] proposed CNN architecture …

… It would also be of benefit to librarians and readers who wish to have a quick glimpse of a
given article, for Internet users looking for the most relevant keywords of a web page, or even …

… reliability of XCN model and provides a novel method for the fault diagnosis of the gearbox.
Finally, other fault diagnosis algorithms based on big data were applied to the fault diagnosis …

Vaccines are critical tools for maintaining global health. Traditional vaccine technologies
have been used across a wide range of bacterial and viral pathogens, yet there are a number …

… of items into account, we propose a novel method, ie Session-based Recommendation with
… In the proposed method, session sequences are modeled as graphstructured data. Based …

… Indeed, features extraction can influence on the performance of the … a novel approach for
human action recognition based on hybrid deep learning model. The proposed approach is …

… Experiments carried out on the dataset from PRONOSTIA and comparison with other
novel approaches demonstrate that the proposed method achieves a better performance. …