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of 3
pro vyhledávání: '"Julius Olaniyan"'
Autor:
Julius Olaniyan, Deborah Olaniyan, Ibidun Christiana Obagbuwa, Bukohwo Michael Esiefarienrhe, Matthew Odighi
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 10041 (2024)
This paper presents a transformative explainable convolutional neural network (CNN) framework for cataract detection, utilizing a hybrid deep learning model combining Siamese networks with VGG16. By leveraging a learning rate scheduler and Grad-CAM (
Externí odkaz:
https://doaj.org/article/0ea658f4475b461681a08b784d276409
Autor:
Deborah Olaniyan, Julius Olaniyan, Ibidun Christiana Obagbuwa, Bukohwo Michael Esiefarienrhe, Olorunfemi Paul Bernard
Publikováno v:
Computers, Vol 13, Iss 9, p 242 (2024)
This study presents the development and evaluation of a Multi-Task Long Short-Term Memory (LSTM) model with an attention mechanism for predicting students’ academic performance. The research is motivated by the need for efficient tools to enhance s
Externí odkaz:
https://doaj.org/article/7ddaab501de4413daa5cb0325a2239a6
Autor:
Deborah Olaniyan, Roseline Oluwaseun Ogundokun, Olorunfemi Paul Bernard, Julius Olaniyan, Rytis Maskeliūnas, Hakeem Babalola Akande
Publikováno v:
Computers, Vol 12, Iss 11, p 231 (2023)
Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. In this study, we propose an advanced natural language processing methodology utilizing long short-term memory
Externí odkaz:
https://doaj.org/article/7128533820104f8b84c4dc9e0d7ce83e