Akinyemi Sadeeq Akintola

Integrating Data-Driven Continuous Improvement Frameworks within ERP-Enabled Manufacturing Environments

Akinyemi Sadeeq Akintola, Ododoade Idowu Adewuyi, Onyemere Ijeoma Juliet, Oladele Esan & Confidence Ngozika Confidence · Journal of Engineering Research and Reports · 2025

Aims: This study aims to explore the integration of data-driven Continuous Improvement (CI) frameworks with Enterprise Resource Planning (ERP) systems in manufacturing environments to enhance operational efficiency and competitiveness. Specifically, it seeks to determine how ERP-...

Open access Research Article 10.9734/jerr/2025/v27i111706

Digital Transformation in Telehealth: A Systematic Review of User Trust, Privacy, and Regulatory Governance in AI-Powered Remote Monitoring Systems

Akinyemi Sadeeq Akintola, Yetunde Omoyiwola Fawehinmi, Oladapo Aiyenitaju, Benita Chinemerem & Okonkwo Emmanuella · Journal of Scientific Research and Reports · 2025

Aims: This review examines how artificial intelligence (AI)-powered remote monitoring systems (RMS) influence patient trust, privacy, and adoption in U.S. telehealth. It also explores how key regulatory agencies the Food and Drug Administration (FDA), the Department of Health and...

Open access Research Article 10.9734/jsrr/2025/v31i113658

Machine Learning for Early Disease Outbreak Detection in the United States: An Integrative Systematic Review of Multisource Data Integration

Akinyemi Sadeeq Akintola, Prosper Aimé Tchoumo, Habeeb Abdulrauf, Okonkwo Emmanuella & Ayeoribe Abiodun Olorunfemi · International Journal of TROPICAL DISEASE & Health · 2025

Early detection of outbreaks is predicated on rapid response, yet this process is hindered by delayed and fragmented surveillance. The objective of this study is to evaluate the landscape, performance, and implementation readiness of machine-learning (ML) models for early outbrea...

Open access Research Article 10.9734/ijtdh/2025/v46i101694