Search Results - "Awe, Olushina Olawale"

Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.

Authors: Awe, Olushina Olawale Mwangi, Peter Njoroge Goudoungou, Samuel Kotva et al.

Source: BMC Medical Informatics & Decision Making. 4/11/2025, Vol. 25 Issue 1, p1-26. 26p.

Non-Negative Time Series Reconstruction via Singular Spectrum Analysis: A Case Study of Precipitation Dynamics in Nigeria.

Authors: Awe, Olushina Olawale Mahmoudvand, Rahim Rodrigues, Paulo Canas

Source: Fluctuation & Noise Letters; Dec2020, Vol. 19 Issue 4, pN.PAG-N.PAG, 21p

Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series.

Authors: Awe, Olushina Olawale Dias, Ronaldo

Source: Agris On-Line Papers in Economics & Informatics. Dec2022, Vol. 14 Issue 4, p3-9. 7p.

Assessing the factors affecting building construction collapse casualty using machine learning techniques: a case of Lagos, Nigeria.

Authors: Awe, Olushina Olawale Atofarati, Emmanuel Olawaseyi Adeyinka, Michael Oluwadare et al.

Source: International Journal of Construction Management. 2024, Vol. 24 Issue 3, p261-269. 9p.

Time Series Analysis of the Behaviour of Import and Export of Agricultural and Non-Agricultural Goods in West Africa: A Case Study of Nigeria.

Authors: Awe, Olushina Olawale Akinlana, Damola M. Yaya, OlaOluwa Simon et al.

Source: Agris On-Line Papers in Economics & Informatics. 2018, Vol. 10 Issue 2, p15-22. 8p.

Comparing logistic regression and neural networks for predicting skewed credit score: a LIME-based explainability approach.

Authors: Wanjohi, Jane Wangui Mpinda, Berthine Nyunga Awe, Olushina Olawale

Source: Statistics in Transition. New Series. Sep2024, Vol. 25 Issue 3, p49-67. 19p.

Fish-NET: Advancing Aquaculture Management through AI-Enhanced Fish Monitoring and Tracking.

Authors: Salako, Joshua Ojo, Foluso Awe, Olushina Olawale

Source: Agris On-Line Papers in Economics & Informatics. Jun2024, Vol. 16 Issue 2, p121-131. 11p.

A comparative study of soil classification machine learning models for construction management.

Authors: Obasi, Sally Ndikum Ngonsah Pemberton, Joseph Awe, Olushina Olawale

Source: International Journal of Construction Management. Mar2025, Vol. 25 Issue 5, p584-593. 10p.

Time-varying Predictors of Non-oil Export Volatility in Nigeria.

Authors: Awe, Olushina Olawale Adepoju, Abosede Adedayo Aromolaran, Opeyemi et al.

Source: African Journal of Business & Economic Research. 2021 Special Issue, Issue si1, p151-166. 16p.

Time series analysis of economic growth rate series in Nigeria: structural breaks, non-linearities and reasons behind the recent recession.

Authors: Awe, Olushina Olawale Gil-Alana, Luis Alberiko

Source: Applied Economics. Oct2019, Vol. 51 Issue 50, p5482-5489. 8p. 3 Charts, 2 Graphs.

A Novel Hybrid Deep Learning Method for Accurate Exchange Rate Prediction.

Authors: Iqbal, Farhat Koutmos, Dimitrios Ahmed, Eman A. et al.

Source: Risks. Sep2024, Vol. 12 Issue 9, p139. 20p.

Characterization of aerosol loading in urban and suburban locations: Impact on atmospheric extinction.

Authors: Onyeuwaoma, Nnaemeka Dom Chineke, Theo Chidiezie Nwofor, Okeychukwu Kelechi et al.

Source: Cogent Environmental Science. Jan2018, Vol. 4 Issue 1, p1-1. 1p.