Author

Wunukhen Shehu Awudu

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Conference Open access 2026

A CNN and BiLSTM Network for Predicting Job Failures in Dynamic Cloud Workloads

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

Conference Open access 2026

Enhanced Intrusion Detection in IoT Networks using Federated Learning

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