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Subject : [info.info-ai]computer science [cs]/artificial intelligence [cs.ai]
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Conference

FORVM Plants ; FORVM Plants: Annotation of scientific literature to contextualize plant metabolism data

Subjects: Datalake; Knowlede Graph; IAParis; France

  • Source: RFMF 2025 - 17èmes journées scientifiques du Réseau Francophone de Métabolomique et Fluxomique ; https://hal.inrae.fr/hal-05121234 ; RFMF 2025 - 17èmes journées scientifiques du Réseau

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Conference

Deep mechanistic model: Integrating deep learning and stochastic mechanistic approaches for Bovine Respiratory Diseases diagnosis and epidemiological forecasting

Subjects: [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Uppsala; Sweden

  • Source: Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM) ; https://hal.inrae.fr/hal-04698205 ; Conference of the Society for Veterinary Epidemiology and Preventive

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Academic Journal

Topology reduction through machine learning to accelerate dynamic simulation of district heating

Subjects: District heating network; Topology reduction; Artificial neural networks

  • Source: EISSN: 2666-5468 ; Energy and AI ; https://hal.science/hal-04745609 ; Energy and AI, 2024, 17, pp.100393. ⟨10.1016/j.egyai.2024.100393⟩

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Academic Journal

An approach based on a multi-agent system for production scheduling problem under uncertainty on solar power

Subjects: stochastic model; scheduling; lot sizing production

  • Source: ISSN: 2405-8963 ; IFAC-PapersOnLine ; https://nantes-universite.hal.science/hal-04754258 ; IFAC-PapersOnLine, 2024, 58 (19), pp.1072-1077. ⟨10.1016/j.ifacol.2024.09.130⟩.

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Conference

Learning the dynamic of clusters of vertices in a graph for District Heating Network simplification ; Apprentissage de la dynamique de clusters de noeuds dans un graphe pour la simplification des réseaux de chaleur urbains

Subjects: District heating network; Graph signal processing; Machine LearningOxford; United Kingdom

  • Source: Graph Signal Processing workshop 2023 ; https://hal.science/hal-04639200 ; Graph Signal Processing workshop 2023, Jun 2023, Oxford, United Kingdom

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Academic Journal

Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control

Subjects: energy management system; digital twins; general additive models

  • Source: ISSN: 1996-1073 ; Energies ; https://hal.science/hal-04086722 ; Energies, 2023, 16 (1), pp.123. ⟨10.3390/en16010123⟩.

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Lessons learnt from the first modelling challenge in animal health: Improving preparedness to control African swine fever at the interface between livestock and wildlife

Subjects: [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationBelfast; United Kingdom

  • Source: Annual Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM 2022) ; https://hal.inrae.fr/hal-03790022 ; Annual Conference of the Society for Veterinary Epidemiology and

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Book

SketchOscent: towards a knowledge-based model and interactive visualisation of the odour space

Subjects: odour space representation; human knowledge-based model; semantic representation

  • Source: Proceedings of the 16th Weurman Flavour Research Symposium ; https://hal.science/hal-03556965 ; Proceedings of the 16th Weurman Flavour Research Symposium, 2022, ⟨10.5281/zenodo.5948778⟩

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Academic Journal

A digital learning tool based on models and simulators for food engineering (MESTRAL)

Subjects: Concept map; Electronic knowledge book; Food processing

  • Source: ISSN: 0260-8774 ; Journal of Food Engineering ; https://hal.inrae.fr/hal-02980650 ; Journal of Food Engineering, 2021, 293, pp.110375. ⟨10.1016/j.jfoodeng.2020.110375⟩.

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Conference

Génération et utilisation de graphes de connaissances pour aider à la contextualisation des données de métabolomique

Subjects: semantic web; knowledge graph; big dataDijon; France

  • Source: IN-OVIVE 2025 - 8ème édition de l’Atelier INtégration de sources/masses de données hétérogènes et Ontologies, dans le domaine des sciences du VIVant et de l’Environnement, adossé à la

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  • 1-10 of  171 results for ""Oniris""