Alternative title | Conférence du Programme « L’Intelligence artificielle au service de la logistique » : 17 – 18 mai 2023, Ottawa, Canada: livret de résumés |
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Link | Artificial Intelligence for Logistics program Programme Intelligence artificielle au service de la logistique |
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DOI | Resolve DOI: https://doi.org/10.4224/40003097 |
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Editor | Search for: National Research Council of Canada |
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Format | Text, Proceedings |
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ISBN | 978-0-660-48565-2 |
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Subject | adaptive instructional system; advanced driver assistance systems; aerial autonomy dataset; aerial manipulation systems; aerial robotics; aerial robots haptics; aerial-semantic-segmentation; AI; adversarial machine learning; ant colony optimization; advanced persistent threats; artificial intelligence; augmentation; augmented reality; blockchain; chaos-engineering; classification; climate change; convolution neural networks; combinatorial optimization; computer vision; concrete defect detection; consensus protocols; continuous; continuum; crash reliability modelling; crashes; cross-calibration; crowd shipping; data-acquisition; deep-learning; deep-reinforcement-learning; deformation detection; detect & avoid; detection; distributed fiber optic sensors; digital twin; domain adaptation; drayage operations; drone localization; dynamics; extreme-weather; feature tracking; fingerprinting; firefighter training dangerous-goods; federated learning; freight; fusion; gaze; gaze-tracker; genetic-programming; geographic information system; grain; graphs; haptics; hazards; hyperdimensional computing; intrusion detection systems; inspection; instability; instrumentation; intentionality; Internet of things; Internet of vehicules; intelligent transportation systems; landing zone detection; last mile; logistics; long short term memory; long-term pavement performance; machine learning; malware; manipulation; meta-heuristic; multi-layer perceptron; modelling; monitoring; multi-trip time-dependent vehicle routing problem; multi-agent; network; neural representation; novelty detection; object detection; origin destination; path optimization LTE surveying; pavement; pavement instrumentation; photogrammetry; place recognition; proof of delivery; portable; prediction; privacy preserving; profiling; provenance; quadrotor; rail; railway; random walk; real option analysis; real-time monitoring; regression; reinforcement learning; reputation; resilient; resilience; response; robotics; route recommendation system; routing; road weather information system; safety; sea ice; segmentation; semantic; sensors; sequence-to-sequence; slave geological province; similarity; simulation; simultaneous localization and mapping; safe landing zones; social media; soil temperature; spatial semantic pointers; statistical learning; stereo; strain; stress; supervised learning; synthetic data; teleoperation; temperature; time series classification; traffic; truck; truck traffic prediction; trucking; photogrammetry; unmanned aircraft system; unmanned aircraft vehicle; unsupervised-adversarial-domain-adaptation; vehicle routing problem; view-planning; visual inertial navigation systems; vision; volume; vertical take-off and landing; 3D-reconstruction; ACO; ADAS; AL; AML; APT; AR; CNN; DFOS; DRL; FL; GIS; IDS; IoT; IoV; ITS; LSTM; LTPP; ML; MLP; MTTDVRP; POD; RWIS; SGP; Sim2real; SLAM; SLZ; SSPs; UAS; UAV; VINS; VRP; VTOL |
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Abstract | The National Research Council of Canada (NRC) is committed to supporting the scale ai cluster's goals through its Artificial Intelligence for Logistics program, which includes convener support in supply chain and logistics. The program also provides R&D expertise focused on next-generation technology issues to ensure Canadian excellence in logistics for the longer term. Using its national reach, the NRC program is creating linkages between stakeholders, and enabling the advancement of the technologies and firms that will make supply chain and logistics excellence a competitive advantage for Canada. |
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Publication date | 2023-07-13 |
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Publisher | National Research Council of of Canada |
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Language | English |
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Peer reviewed | No |
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NRC number | NR16-424/2023E-PDF |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | b38fa4bd-7344-4440-8292-b9e486915b49 |
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Record created | 2023-07-13 |
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Record modified | 2024-03-25 |
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