This study investigates the effectiveness of machine learning algorithms, particularly an optimized eXtreme Gradient Boosting (XGBoost) model, in predicting 30-day ICU readmissions using the MIMIC-III dataset comprising over 40,000 critical care records. Through a quantitative ap...
Open access
Research Article10.9734/ajrcos/2025/v18i6691
Ademola Oluwaseun Salako, Temilade Oluwatoyin Adesokan-Imran, Olufisayo Juliana Tiwo, Olufunke Cynthia Metibemu, Ogechukwu Scholastica Onyenaucheya & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
This study addresses confidentiality challenges in financial Distributed Ledger Systems (DLS) using Secure Multi-Party Computation (SMPC). By analyzing real-world datasets, it evaluates privacy risks, protocol efficiency, and system resilience. Findings highlight SMPC’s role in e...
Open access
Research Article10.9734/jerr/2025/v27i31439
Ademola Oluwaseun Salako, Jumai Adedoja Fabuyi, Nsidibe Taiwo Aideyan, Oluwatosin Selesi-Aina, Dooshima Louisa Dapo-Oyewole & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study explores adaptive information governance models to address critical challenges in AI-driven cloud environments, focusing on enhancing data security and achieving regulatory compliance. Existing frameworks often fail to account for the complexities introduced by AI and...
Open access
Research Article10.9734/ajrcos/2024/v17i12530
Michael Olayinka Gbadebo, Ademola Oluwaseun Salako, Oluwatosin Selesi-Aina, Olumide Samuel Ogungbemi, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2024
This study examines the effectiveness of current data privacy protocols within cryptocurrency platforms, focusing on encryption strength, anonymity techniques, and AI-powered regulatory compliance tools. Data were sourced from CoinMarketCap and Kaggle, including metrics like Bit...
Open access
Research Article10.9734/jerr/2024/v26i111311
Temilade Oluwatoyin Adesokan-Imran, Anuoluwapo Deborah Popoola, Valerie Ojinika Ejiofor, Ademola Oluwaseun Salako & Ogechukwu Scholastica Onyenaucheya·Journal of Engineering Research and Reports·2025
This study investigates the application of artificial intelligence (AI) and machine learning (ML) in predictive cybersecurity risk modeling within the healthcare sector. Given the increasing digitization of healthcare systems and the corresponding rise in cyber threats, it is cru...
Open access
Research Article10.9734/jerr/2025/v27i41463
Seun Michael Oyekunle, Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Ademola Oluwaseun Salako & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2025
The increasing adoption of cloud-based Electronic Health Records (EHRs) has transformed healthcare by enhancing data accessibility, interoperability, and patient care efficiency. However, this transition has also introduced new cybersecurity vulnerabilities, with ransomware emerg...
Open access
Research Article10.9734/jerr/2025/v27i31444