activity
20222026
most citedHuman Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

52 citations · 148 across the 19 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.SE2026

Multi-agent LLMs on the Cloud-Edge-IoT Continuum: A Systematic Mapping Study on Architectures, Deployment, and Evaluation

Mahyar Tourchi Moghaddam, Tiziano Santilli, Leo Wilhelm Lierse +2

LLM applications are increasingly built as systems of cooperating components rather than as single prompt-response pipelines. IoT applications add constraints of their own, because…

cs.LG2026

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7

Low-resolution infrared (IR) array sensors represent an interesting solution for privacy-preserving human sensing in embedded systems. In this letter, we describe a smart multi-pix…

cs.SE2026

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods

Oliver Aleksander Larsen, Tiziano Santilli, Francesco Daghero +1

Cyber-physical systems built on deterministic edge inference, such as on-vehicle flood detection for agricultural fields, produce structured decision logs that must be interpreted…

cs.SE2026

SAKE: Software Architectural Knowledge Evaluation Benchmark for Large Language Models

Tiziano Santilli, Francesco Daghero, Mayhar Tourchi Moghaddam

Large Language Models (LLMs) are increasingly used as assistants across the software development lifecycle, yet their ability to reason about software architecture remains largely…

cs.LG2026

Hierarchical adaptive control for real-time dynamic inference at the edge

Francesco Daghero, Mahyar Tourchi Moghaddam, Mikkel Baun Kjærgaard

Industrial systems increasingly depend on Machine Learning (ML), and operate on heterogeneous nodes that must satisfy tight latency, energy, and memory constraints. Dynamic ML mode…