Outputs (2)

A novel attention model across heterogeneous features for stuttering event detection (2023)
Journal Article
Al-Banna, A., Fang, H., & Edirisinghe, E. (2024). A novel attention model across heterogeneous features for stuttering event detection. Expert systems with applications, 244, Article 122967. https://doi.org/10.1016/j.eswa.2023.122967

Stuttering is a prevalent speech disorder affecting millions worldwide. To provide an automatic and objective stuttering assessment tool, Stuttering Event Detection (SED) is under extensive investigation for advanced speech research and applications.... Read More about A novel attention model across heterogeneous features for stuttering event detection.

Deep neural network based date palm tree detection in drone imagery (2022)
Journal Article
Jintasuttisak, T., Edirisinghe, E., & Elbattay, A. (2022). Deep neural network based date palm tree detection in drone imagery. Computers and Electronics in Agriculture, 106560 - 106560. https://doi.org/10.1016/j.compag.2021.106560

Date palm trees are an important economic crop in the Arabian Peninsula, Middle East, and North Africa. Counting the numbers and determining the locations of date palm trees are important for predicting the date production and plantation management.... Read More about Deep neural network based date palm tree detection in drone imagery.