All Outputs (2)

A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem (2022)
Journal Article
Abbas, M., Ajayi, S., Bilal, M., Oyegoke, A., Pasha, M., & Tauqeer Ali, H. (2024). A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem. Journal of Ambient Intelligence and Humanized Computing, 15, 419–433. https://doi.org/10.1007/s12652-022-03899-6

In the recent decade, the citation recommendation has emerged as an important research topic due to its need for the huge size of published scientific work. Among other citation recommendation techniques, the widely used content-based filtering (CBF)... Read More about A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem.

A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways (2022)
Journal Article
Akinosho, T. D., Oyedele, L. O., Bilal, M., Barrera-Animas, A. Y., Gbadamosi, A. Q., & Olawale, O. A. (2022). A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways. Ecological Informatics, 69, Article 101609. https://doi.org/10.1016/j.ecoinf.2022.101609

The construction of intercity highways by the government has resulted in a progressive increase in vehicle emissions and pollution from noise, dust, and vibrations despite its recognition of the air pollution menace. Efforts that have targeted roadsi... Read More about A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways.