Skip to content
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • 10th SmartData@PoliTO Workshop – Present and Future Directions
    • 9th SmartData@PoliTO Workshop – SmartData@PoliTO meets AI-H@PoliTO
    • La biblioteca nel metaverso – la Reading & Machine
  • Workshops
    • Seminars
      • AI4Industry – the role of AI and Data-driven Analysis in the Future of European Industry
      • On the dynamics of music virality and its relation with mainstream success
      • Bypass frauds in cellular networks: from Financial strikes to Data poisoning
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
  • Search
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • 10th SmartData@PoliTO Workshop – Present and Future Directions
    • 9th SmartData@PoliTO Workshop – SmartData@PoliTO meets AI-H@PoliTO
    • La biblioteca nel metaverso – la Reading & Machine
  • Workshops
    • Seminars
      • AI4Industry – the role of AI and Data-driven Analysis in the Future of European Industry
      • On the dynamics of music virality and its relation with mainstream success
      • Bypass frauds in cellular networks: from Financial strikes to Data poisoning
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
Home » Publications » Detecting industrial vehicles’ duty levels using contrastive learning

Detecting industrial vehicles’ duty levels using contrastive learning

Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti (2023) Detecting industrial vehicles’ duty levels using contrastive learning, In: Proceedings on the 2023 IEEE International Conference on Big Data, pp. 1630-1636, ISBN: 979-8-3503-2445-7

Post navigation

  • Previous post Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform
  • Back to post list
  • Next post Spatiotemporal evolution of particle puffs in transitional channel flow

Collaborations

 

© 2025 SmartData@PoliTO – All rights reserved

Homepage - Privacy - Cookie Policy - Contacts