O. Awodele

African Beats and Lyrics Composition Using Recurrent Neural Networks and Transformer-Based Models

Human music composition frequently struggles with challenges such as ensuring originality, maintaining lyrical coherence, and managing elaborate polyrhythms. These difficulties are particularly evident in African music, which is characterized by complex rhythms, call and response structures, rhythmic improvisation, and...

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

The Semantic-AI Curriculum Mapping (SACM) Framework is proposed—a conceptual architecture integrating ontologies, knowledge graphs, semantic reasoning, and Large Language Models to automate OBE-aligned curriculum mapping.