[HTML][HTML] Stock price forecasting: Machine learning models with K-fold and repeated cross validation approaches

TP Ogundunmade, AA Adepoju… - Mod Econ …, 2022 - article.innovationforever.com
Background: Stock exchange price prediction is one of the most researched topics, attracting
interest from both academics and industry. Various algorithms have been developed since …

[图书][B] PREDICTING CRUDE OIL PRICE IN NIGERIA WITH MACHINE LEARNING MODELS.

TA OGUNDUNMADE, AA Adepoju, A Allam - 2022 - researchgate.net
Background: The rise in crude oil prices yields serious consequences for both oil-producing
and nonoil-producing countries. The increase in global commodity prices contributes to the …

[PDF][PDF] Modelling Willingness to Pay of Electricity Supply Using Machine Learning Approach

OA Ayansola, TP Ogundunmade… - Mod Econ …, 2022 - researchgate.net
Background: Electricity has long been regarded as a catalyst for enhancing economy growth
in developing countries. The availability of electricity can drive a country's growth by …

[HTML][HTML] Modelling Residential Housing Rent Price Using Machine Learning Models

TP Ogundunmade, M Abidoye… - Mod Econ …, 2023 - article.innovationforever.com
Background: Providing shelter and security through housing is a basic need for people.
However, the housing market is frequently troubled by issues such as exorbitant rent pricing …

[HTML][HTML] Modelling liquefied petroleum gas prices in nigeria using time series machine learning models

TP Ogundunmade, AA Adepoju - Modern Economy …, 2022 - article.innovationforever.com
Background: The usage of liquefied petroleum gas (LPG) in households has been
increasing in recent years. The energy consumption by households is difficult to forecast due …

[PDF][PDF] Prediction of terrorist activities in Nigeria using machine learning models

OA Odeniyi, ME Adeosun, TP Ogundunmade - Innovations, 2022 - researchgate.net
Problem: Terrorism continues to be one of the most important threats to today's civilization.
The different forms of terrorist attacks in Nigeria in the recent times are Boko-Haram attack …

Comparing Two Deep-Learning Models in Discrete Choice Analysis of Customers' Mobile Plan Preferences

C Oliobi, K Chinhamu, T Zewotir - Applied Sciences, 2024 - mdpi.com
A discrete choice experiment (DCE) was used to investigate students' preferences for mobile
phone plans at a South African university. Upon obtaining the data, this study compares the …

Modelling Infant Mortality Rate using Time Series Models

TP Ogundunmade, AO Daniel, AM Awwal - International Journal of Data …, 2023 - ijods.org
The world's main indicator of children's health and general development is the infant
mortality rate for infant under the age of five. Infant mortality is the term used to describe the …

Over-fitting Amelioration in Bayesian Neural Network model Estimation Using Heterogeneous Activation functions

TP OGUNDUNMADE - 2023 - pgsdspace.ictp.it
Neural Network (NN) allows complex nonlinear relationships between the response
variables and its predictors. The Deep NN have made notable contributions across …

Artificial intelligence applications in solar energy

TT Le, TT Le, HC Le, P Paramasivam, N Chung - JOIV: International Journal …, 2024 - joiv.org
Renewable energy research has become significant in the modern period owing to
escalating prices of fossil fuels and the pressing need to reduce greenhouse gas emissions …