Edoardo Ragusa

A Novel Learning Strategy for the Trade-Off Between Accuracy and Computational Cost: A Touch Modalities Classification Case Study

2021 · IEEE Sensors Journal

Wearable systems require resource-constrained embedded devices for the elaboration of the sensed data. These devices have to host energy-efficient artificial intelligence (AI) algorithms to output information to a human user. In this regard, the single-layer …

Searching Neural Architectures for Sensor Nodes on IoT Gateways

2025 · IEEE Internet of Things Journal

This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabling Machine Learning (ML) access even in privacy-sensitive Internet of Things (IoT) applications. The proposed method runs on IoT …

Tiny Neural Networks for Session-Level Traffic Classification

2025 · arXiv (Cornell University)

This paper presents a system for session-level traffic classification on endpoint devices, developed using a Hardware-aware Neural Architecture Search (HW-NAS) framework. HW-NAS optimizes Convolutional Neural Network (CNN) architectures by integrating hardware constraints, ensuring efficient deployment …