Prediction of stroke disease with demographic and behavioural data using random forest algorithm

O Shobayo, O Zachariah, MO Odusami, B Ogunleye - Analytics, 2023 - mdpi.com
Stroke is a major cause of death worldwide, resulting from a blockage in the flow of blood to
different parts of the brain. Many studies have proposed a stroke disease prediction model …

Tree-level landscape transitions and changes in carbon storage throughout the mine life cycle

G Yang, C Su, H Zhang, X Zhang, Y Liu - Science of the Total Environment, 2023 - Elsevier
Opencast mining activities destroy native vegetation, directly impacting the carbon
sequestration capacity of the regional ecosystem. Restoring tree species have significant …

A decade of machine learning in lithium-ion battery state estimation: a systematic review

Z Al-Hashimi, T Khamis, M Al Kouzbary, N Arifin… - Ionics, 2025 - Springer
Lithium-ion batteries are central to contemporary energy storage systems, yet the precise
estimation of critical states—state of charge (SOC), state of health (SOH), and remaining …

Quantitative Upper Limb Impairment Assessment for Stroke Rehabilitation: A Review

X Wang, J Zhang, SQ Xie, C Shi, J Li… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
With the number of people surviving a stroke soaring, automated upper limb impairment
assessment has been extensively investigated in the past decades since it lays the …

[HTML][HTML] State of Charge Estimation for Electric Vehicles Using Random Forest

MH Sulaiman, Z Mustaffa - Green Energy and Intelligent Transportation, 2024 - Elsevier
This paper introduces an innovative approach to addressing a critical challenge in the
electric vehicle (EV) industry—the accurate estimation of the state of charge (SOC) of EV …

The use of a large language model for cyberbullying detection

B Ogunleye, B Dharmaraj - Analytics, 2023 - mdpi.com
The dominance of social media has added to the channels of bullying for perpetrators.
Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in today's cyber world …

On the continuous probability distribution attribute weight of belief rule base model

Y Zhang, H Huang, Y Du, W He - The Journal of Supercomputing, 2024 - Springer
In current researches on belief rule base (BRB), input parameters are tended to be
expressed in the form of quantitative values through expert knowledge combined with …

[HTML][HTML] Explainable machine learning for predicting stomatal conductance across multiple plant functional types

S Gaur, DT Drewry - Agricultural and Forest Meteorology, 2024 - Elsevier
Stomatal conductance (gs) is a key leaf-level function controlling water, carbon, and energy
exchange between vegetation and the surrounding environment. Conventionally, semi …

[HTML][HTML] A systematic evaluation of advanced machine learning models for nickel contamination management in soil using spectral data

K Li, T Hu, M Zhou, M Wu, Q Chen, C Qi - Journal of Hazardous Materials …, 2025 - Elsevier
Soil nickel (Ni) contamination attributes a crucial environmental concern because its
adverse effects on people health and ecosystem. Numerous studies have estimated Ni …

Designing on-board explainable passenger flow prediction

M Barbareschi, A Emmanuele, N Mazzocca… - … Applications of Artificial …, 2025 - Elsevier
Nowadays, predicting public transport passenger flow (PF) is essential to optimize service
planning and provide information to commuters. However, while current research focuses on …