This volume of the Emerging Tech Conference – Edge Intelligence 2024 (ETCEI 2024) Proceedings includes 24…
Edge AI enables machine learning models to operate directly on resource-constrained devices such as microcontrollers, allowing…
In large-scale non-IID distributed settings, where statistical heterogeneity and task diversity among local distributions is prevalent,…
This paper proposes a novel forecasting-based anomaly detection method that leverages Empirical Mode Decomposition (EMD) to…
Non-Intrusive Load Monitoring (NILM) enables the disaggregation of total energy consumption, measured in a single household,…
Next generation networks are expected to connect and manage a vast number of heterogeneous devices stretching…
This study deals with short-term weather forecasting in maritime environments using machine learning. Data from autonomous…
Nowadays, Machine Learning (ML) is being used to construct many applications in domains such us object…
When it comes to edge applications that require object detection based on computer vision, there are…
Among the major factors that may significantly affect the power production of a photovoltaic (PV) power…
