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
This study proposes an integrated CPDP framework that combines Particle Swarm Optimization with Domain Knowledge (PSO+DK) for feature selection and Adaptive Synthetic Sampling (ADASYN) for class imbalance handling that enhanced the discriminative power of the models.
E. Obot, Victor Anaga, Sadiq Thomas 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
By combining a formalized measure of epistemic integrity – via the Epistemic Integrity Index (EII) – with this normative framework, the paper bridges philosophy, ethics, and policy, offering a new model for understanding and regulating AI’s role in the epistemic dimension of modern conflict.
Abasianie Samuel Etuk, B. Stephen, Emmanuel Udoh et al.· E3S Web of Conferences· 0 citations
A deep learning-based failure prediction model that integrates Convolutional Neural Networks and Bidirectional Long Short-Term Memory networks to identify job failures before they occur is presented, improving the performance of cloud computing applications by reducing job failures and optimising resource utilisation.
Wunukhen Shehu Awudu, P. Asuquo, B. Agbor et al.· E3S Web of Conferences· 0 citations
A comprehensive evaluation of deep learning architectures for DDoS attack detection in AMI environments, focusing on Convolutional Neural Network, CNN-Long Short-Term Memory (CNN-LSTM), and CNN-Gated Recurrent Unit (CNN-GRU) hybrid approaches.
S. Bassey, P. Asuquo, Victor Anaga et al.· E3S Web of Conferences· 0 citations
The results show a success in implementing a real time, scalable, privacy-preserving, and adaptive IDS in large-scale IoT deployments through intelligent workload distribution between edge and cloud layers.
Chidera Winifred John, Eduediuyai Ekerete Dan, P. Asuquo et al.· E3S Web of Conferences· 0 citations
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