Information privacy and data security governance increasingly depend on sustained human attention: employees must interpret warnings, follow changing policies, report anomalies, manage credentials, make disclosure decisions and repeatedly consent to data practices. Yet governance...
Open access
Research Article10.9734/ajrcos/2026/v19i8898
Mental healthcare systems worldwide continue to struggle with the translation of therapeutic ideals into equitable practice. Three intersecting paradigms have emerged as central to this endeavour: person-centred counselling, which prioritises the therapeutic relationship and clie...
Open access
Research Article10.9734/indj/2026/v23i4573
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
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
This study examined whether predictive analytics can support the early identification and prevention of crisis-driven mental health service utilization among adolescents and young adults in community and school-based settings, using publicly available school- and community-based...
Open access
Research Article10.9734/indj/2026/v23i1541
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
School psychologist shortages remain a critical challenge in high-need districts, where ratios often exceed 1:1,200, limiting timely mental health support for students. This desk-based study developed hybrid AI and telepsychology workforce models to address these shortages. A sys...
Open access
Research Article10.9734/ajrcos/2026/v19i6868
This study investigates security-visibility challenges in cloud-native microservices by analysing adversarial behaviours using the MITRE ATT&CK container-techniques dataset, assessing observability limitations through time-series telemetry-coverage quantification applied to t...
Open access
Research Article10.9734/jerr/2026/v28i21786
Detecting multi-layered financial crime networks remains a major challenge in anti-money laundering (AML) due to high false positives, evolving adversarial behaviors, limited relational modeling, and stringent regulatory requirements for transparency and auditability. This study...
Open access
Research Article10.9734/jerr/2026/v28i21787
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
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