Academic performance modelling with machine learning based on cognitive and non-cognitive features

B Owusu-Boadu, IK Nti, O Nyarko-Boateng… - Applied Computer …, 2021 - sciendo.com
The academic performance of students is essential for academic progression at all levels of
education. However, the availability of several cognitive and non-cognitive factors that …

Machine learning techniques via ensemble approaches in stock exchange index prediction: Systematic review and bibliometric analysis

JVR Ferro, RJR Dos Santos, E de Barros Costa… - Applied Soft …, 2024 - Elsevier
The prediction of time series indices in stock markets has become an area of growing
interest, providing investors with an advanced insight into a country's economic prospects in …

An empirical assessment of different kernel functions on the performance of support vector machines

IK Nti, O Nyarko-Boateng, FA Adekoya… - Bulletin of Electrical …, 2021 - beei.org
Artificial intelligence (AI) and machine learning (ML) have influenced every part of our day-to-
day activities in this era of technological advancement, making a living more comfortable on …

Deep-Reinforcement-Learning-Based Dynamic Ensemble Model for Stock Prediction

W Lin, L Xie, H Xu - Electronics, 2023 - mdpi.com
In stock prediction problems, deep ensemble models are better adapted to dynamically
changing stock market environments compared to single time-series networks. However, the …

Forecasting relative returns for S&P 500 stocks using machine learning

HH Htun, M Biehl, N Petkov - Financial Innovation, 2024 - Springer
Forecasting changes in stock prices is extremely challenging given that numerous factors
cause these prices to fluctuate. The random walk hypothesis and efficient market hypothesis …

Opinion mining for stock trend prediction using deep learning

S Albahli, T Nazir - Multimedia Tools and Applications, 2024 - Springer
Stock market prediction by using Machine Learning (ML) models has been a hot topic of
research for more than a decade. Combined with the power of sentiment analysis and ML …

Predicting diabetes using Cohen's Kappa blending ensemble learning

IK Nti, O Nyarko-Boateng, AF Adekoya… - International …, 2023 - inderscienceonline.com
Diabetes is a well-known risk factor for early mortality and disability. As signatories to the
2030 Agenda for Sustainable Development, Member States set an ambitious objective of a …

Measuring the efficiency of banks using high-performance ensemble technique

HH Thabet, SM Darwish, GM Ali - Neural Computing and Applications, 2024 - Springer
The importance of technology and managerial risk management in banks has increased due
to the financial crisis. Banks are the most affected since there are so many of them with poor …

Enhancing flood prediction using ensemble and deep learning techniques

IK Nti, O Nyarko-Boateng, S Boateng… - … Arab Conference on …, 2021 - ieeexplore.ieee.org
Though flooding is seen as a common environmental threat globally, it has dramatically
increased recently due to climate change, impacting underdeveloped and developing …

Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia

GB Alemu, YG Ejigu - Advances in Space Research, 2024 - Elsevier
This study mainly focuses on the prediction of the variability of the Total Electron Content
(TEC) affecting space and ground-based technological infrastructures vulnerable to extreme …