◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Crabolu

3 papers hereh-index 8248 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • eess.SY1

identity via Semantic Scholar / OpenAlex

most citedA Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

eess.SP2024★ 2 cited

A Proximity-Based Approach for Dynamically Matching Industrial Assets and Their Operators Using Low-Power IoT Devices

Silvano Cortesi, Michele Crabolu, Prodromos-Vasileios Mekikis +3

Asset tracking solutions have proven their significance in industrial contexts, as evidenced by their successful commercialization (e.g., Hilti On!Track). However, a seamless solut…

eess.SP2023

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices

Marco Giordano, Silvano Cortesi, Michele Crabolu +6

This paper introduces an effective solution for retrofitting construction power tools with low-power IoT to enable accurate activity classification. We address the challenge of dis…

eess.SY2023

Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices

Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis +3

In the ever-growing Internet of Things (IoT) landscape, smart power management algorithms combined with energy harvesting solutions are crucial to obtain self-sustainability. This…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.