All Outputs (3)

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.

Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers (2022)
Conference Proceeding
Hassan, M., Younis, S., Rasheed, A., & Bilal, M. (2022). Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers. In Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021). https://doi.org/10.1117/12.2623585

Deep learning architectures have emerged as powerful function approximators in a broad spectrum of complex representation learning tasks, such as, computer vision, natural language processing and collaborative filtering. These architectures bear a hi... Read More about Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers.