O. Awodele

Causal Multi-Task Fusion Engine with Disentangled Representations for IoT-Based Clinical Recommendation in ICU Monitoring

Continuous monitoring through Internet of Things (IoT) sensors provides valuable physiological data for clinical decision support in intensive care units. However, conventional hybrid models, such as LSTM–XGBoost, primarily learn correlations and often fail to distinguish stable causal mechanisms from spurious patterns...

Conceptual Review of Dual-Target Machine Learning Models for Prediction of Reproductive Health in Women

nfertility and menopause are two major interconnected challenges in women reproductive health. They are linked through ovarian ageing, endocrine changes and the progressive reduction in reproductive capacity, although infertility may also arise from causes unrelated to menopausal transition. This study is conceptually...

Performance Evaluation of Edge-based Anomaly detection Systems for Real-Time Health Monitoring over IoT Network

CONCEPTUAL FRAMEWORK FOR AUTOMATED CURRICULUM MAPPING IN OUTCOME-BASED EDUCATION USING SEMANTIC REASONING

Higher education institutions globally are being mandated to implement Outcome-Based Education (OBE), placing curriculum mapping at the center of quality assurance. Yet mapping remains labour-intensive, subjective, and inadequate at scale. This paper proposes the Semantic-AI Curriculum Mapping (SACM) Framework—a concep...