Technology-enabled rehabilitation counselling, encompassing telerehabilitation, digital case management, wearable-based self-tracking, and artificial intelligence (AI) decision support, has expanded access to vocational and psychosocial rehabilitation while simultaneously increas...
Open access
Research Article10.9734/ajmpcp/2026/v9i2469
This study examines the ethical and secure deployment of generative artificial intelligence in enterprise environments, with emphasis on innovation, data privacy, and risk governance. It addresses the gap between the rapid organisational adoption of generative AI systems and the...
Open access
Research Article10.9734/jerr/2026/v28i71943
Background: The COVID-19 pandemic accelerated the digital transformation of mental health and rehabilitation counseling services in the United States. This shift has expanded access to care, but it has also exposed persistent inequities that affect underserved populations. Object...
Open access
Research Article10.9734/indj/2026/v23i3560
The rapid adoption of artificial intelligence (AI) in healthcare analytics has raised significant concerns regarding patient data privacy, security, and regulatory compliance. This study develops a Privacy-by-Design (PbD) data governance model tailored for AI-driven healthcare an...
Open access
Research Article10.9734/ajrcos/2026/v19i3835
Healthcare systems globally face persistent inefficiencies in clinical and administrative workflows due to complex, variable processes and limited visibility into real executions. This study developed an AI-enabled process mining framework designed for the automated discovery and...
Open access
Research Article10.9734/jerr/2026/v28i31824
This study examines the association between culturally responsive rehabilitation counseling and workforce reintegration outcomes among linguistically diverse individuals with disabilities in the United States. Within the vocational rehabilitation (VR) context, culturally responsi...
Open access
Research Article10.9734/indj/2026/v23i1542
This study examines how vocational rehabilitation (VR) counseling can be strategically restructured to improve sustainable digital employment outcomes for young adults with Autism Spectrum Disorder (ASD) in the United States. Drawing on nationally representative RSA-911 administr...
Open access
Research Article10.9734/indj/2026/v23i1540
The rapid growth of multimodal wearable devices has enabled continuous monitoring of physiological and behavioral patterns for home-based health applications. However, centralized data processing raises serious privacy concerns and limits real-time, interpretable insights. This s...
Open access
Research Article10.9734/ajrcos/2026/v19i4845
Timilehin Emmanuel Odeyinka, Cornelia Ifeoma Ejoh, Asmau Abubakar Abdulmalik, Isaac Adinoyi Salami & Akinde Michael Ogunmolu·Journal of Engineering Research and Reports·2026
This research addresses governance and security gaps in autonomous artificial intelligence systems deployed within distributed cloud healthcare environments by proposing an integrated framework combining AI-driven governance, adaptive certification, behavioral authentication, and...
Open access
Research Article10.9734/jerr/2026/v28i11783
This study proposes and quantitatively evaluates a secure-by-containment architectural framework for deploying agentic artificial intelligence (AI) within operational technology and industrial control system (OT/ICS) environments. Agentic AI systems introduce autonomous planning...
Open access
Research Article10.9734/ajrcos/2026/v19i3833
Oluwadayo Mafolasere Olaniyi, Olubukola Omolara Adebiyi, Cornelia Ifeoma Ejoh, Oluwabukola Oluwaseun Afolabi & Valerie Ojinika Ejiofor·Asian Journal of Research in Computer Science·2026
This study develops and validates a conversational AI–powered fraud prevention framework for real-time transaction security in augmented reality (AR) e-commerce environments. Adopting an explanatory sequential mixed-methods methodology, the research integrates architectural frame...
Open access
Research Article10.9734/ajrcos/2026/v19i1817
Artificial intelligence systems increasingly mediate consequential decisions in credit allocation, healthcare triage, employment screening and public administration, yet the data underpinning these decisions is frequently incomplete, mislabelled, stale or quietly altered as it mo...
Open access
Research Article10.9734/ajrcos/2026/v19i8892
This study evaluated the adversarial robustness of machine learning-based fraud detection systems by comparing classifier vulnerability profiles and assessing adversarial training as a mitigation strategy. Using the IEEE-CIS Fraud Detection dataset, comprising 590,540 transaction...
Open access
Research Article10.9734/jerr/2026/v28i71957
This study presents a hybrid federated learning and explainable artificial intelligence framework, termed RobustFL, designed to mitigate adversarial attacks in medical imaging while incorporating privacy-preserving mechanisms. Focusing on chest X-ray analysis, the research system...
Open access
Research Article10.9734/ajrcos/2026/v19i4852
Adeyemi Adebukunola Ishekwene, Christopher Ugbong Akeke, Akinde Michael Ogunmolu, Busola Motunrayo Olawale & Cornelia Ifeoma Ejoh·Journal of Engineering Research and Reports·2026
Critical infrastructure operators increasingly deploy artificial intelligence (AI) to detect degradation, predict failures, optimise maintenance, identify cyber anomalies and support operational decisions. These capabilities create a plausible route to higher availability, reliab...
Open access
Research Article10.9734/jerr/2026/v28i81986