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SMARTHEP Meets Industry @CERN (22nd-23rd May 2025)

22–23 May 2025
CERN
Europe/Rome timezone

Contact the Coordinator (C. Doglioni) and Project Manager (A. Carey)

Session

ESRs' presentations

23 May 2025, 09:15
40/S2-A01 - Salle Anderson (CERN)

40/S2-A01 - Salle Anderson

CERN

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  1. 8. GRAPH NEURAL NETWORK TRAFFIC PREDICTIONS ON REAL-TIME OBSERVATIONS
    Alexandros Sopasakis
    23/05/2025, 09:15
  2. 9. LEARNING TRAFFIC ANOMALIES FROM GENERATIVE MODELS ON REAL- TIME OBSERVATIONS
    Alexandros Sopasakis
    23/05/2025, 09:20
  3. 10. SIMULATION OF STREET VIDEO SCENES FOR OBJECT DETECTION MODELS IN COMPUTER VISION
    Henrique Piñeiro Monteagudo
    23/05/2025, 09:25
  4. 11. ROAD SCENE UNDERSTANDINGFOR RISK ANTICIPATION FROM EGO-VEHICLE DATA
    Henrique Piñeiro Monteagudo
    23/05/2025, 09:30
  5. 12. EFFECTS OF VIEWPOINT SHIFTS IN BIRD-EYE VIEW SEGMENTATION
    Patin Inkaew (Helsinki Institute of Physics (FI))
    23/05/2025, 09:35
  6. 13. STUDY OF INDUSTRIAL TIME SERIESDATA FOR SEGMENTATION AND PATTERN IDENTIFICATION
    Daniel Magdalinski (Nikhef)
    23/05/2025, 09:40
  7. 16. OPTIMIZED MACHINE LEARNINGINFERENCE THROUGH HETEROGENEOUSARCHITECTURES
    Sanjiban Sengupta (CERN, The University of Manchester)
    23/05/2025, 09:45
  8. 14. DEVELOPMENT OF SIMULATION- BASED INFERENCE INTERFACES IN THE ROOT SOFTWARE FRAMEWORK FOR INDUSTRIAL APPLICATIONS
    Jamie Gooding (Technische Universitaet Dortmund (DE))
    23/05/2025, 09:50
  9. 15. REAL-TIME DATA ACQUISITION ANDANALYSIS FOR HIGH-FREQUENCYMONITORING IN INDUSTRY 4.0AND BEYOND
    Maximilian Amerl (The University of Manchester (GB))
    23/05/2025, 09:55
  10. 18. NEXT-GEN BANKING FRAUD SIMULATION WITH AGENT-BASED MODELING AND LLMs
    Micol Olocco (Technische Universitaet Dortmund (DE))
    23/05/2025, 10:00
  11. 17. JET ENERGY CALIBRATION WITH REAL-TIME MACHINE LEARNING TRAININGAND ANOMALY DETECTION IN HIGH-ENERGY PHYSICS AND FINANCE
    Laura Boggia (Centre National de la Recherche Scientifique (FR))
    23/05/2025, 10:05
  12. 19. REAL-TIME MARKET ANALYSIS WITH RECURRENT NEURAL NETWORKS FOR PREDICTIVE INSIGHTS
    Leon Bozianu (Universite de Geneve (CH))
    23/05/2025, 10:10
  13. 20. STUDY OF HISTORICAL TIMESERIES OF FINANCIAL DATA TO DEVELOP MACHINE LEARNING APPLICATIONS FOR ANALYSIS AND PREDICTION OF FINANCIAL ASSETS
    Sofia Cella (CERN)
    23/05/2025, 10:15
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