Cyberbullying poses critical urban safety challenges, with current cloud-based detection systems creating privacy concerns and infrastructure dependencies that particularly affect under-resourced communities. This paper presents a comparative study of DistilBERT and Gemma-3-270M for mobile cyberbullying detection, addr...
Emmanuel Chibuike Edeh, P. Asuquo, Princewill Ahumaraeze et al.· E3S Web of Conferences· 0 citations
An enhanced TabNet-based semi-supervised framework for multi-class HVAC fault detection, incorporating rigorous pseudo-label generation via Label Propagation, cost-sensitive learning for imbalanced classes, and hybrid feature engineering is introduced.
I. Samuel, B. Stephen, S. Ozuomba et al.· E3S Web of Conferences· 0 citations
Financial fraud detection in transaction networks is challenging due to evolving attack strategies, complex relational structures, and extreme class imbalance. We propose a hybrid deep learning model that fuses Graph Convolutional Neural Networks (GCNNs) with bidirectional LSTMs enhanced by temporal attention, enabling...
Ofonime Dominic Okon, Imo Enang, B. Stephen et al.· E3S Web of Conferences· 0 citations
The development of an ensemble machine learning pipeline for predicting resistance gene functions using the Comprehensive Antibiotic Resistance Database (CARD) demonstrates superior performance while maintaining computational efficiency, making it suitable for deployment in resourceconstrained environments.
Princewill Ahumaraeze, Ofonime Dominic Okon, P. Asuquo et al.· E3S Web of Conferences· 0 citations
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