FUSE-Net: A hybrid ensemble learning framework for securing cloud-based intelligent transport systems in African smart mobility networks

An Adaptive Machine Learning Framework for Anomaly Detection in Cloud-Based Storage Systems

Critical anomaly detection difficulties, such as false alarms during workload variations and delayed

Securing smart agriculture networks using bio-inspired feature selection and transfer learning for effective image-based intrusion detection

Creating Smart Connected Learning Ecosystems: A Hybrid Model for Design-Based Learning

Emerging technologies and new pedagogies, such as design-based learning, have the potential to revol

Smart Agriculture in Morocco: An Intelligent Deep Learning Framework for Crop Disease Diagnosis

The Moroccan agricultural sector is currently navigating a pivotal transformation driven by the “Gen

A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems

Smallholder farmers cultivate more than 80% of the cropland area available in Africa. The intrinsic

Federated Learning-based Anomaly Detection System for Securing Nigerian Oil Pipeline Sensor Networks

Oil pipeline infrastructure plays a critical role in Nigeria&rsquo