Personnaliser

OK

Durée limitée Jardin et Bricolage : 10€, 20€ ou 100€ offerts* dès 69€, 149€ ou 999€ d'achat !

En profiter

Video Based Machine Learning for Traffic Intersections - Banerjee, Tania

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

236,50 €

Produit Neuf

  • Ou 59,13 € /mois

    • Livraison à 0,01 €
    • Livré entre le 23 juillet et le 4 août
    Voir les modes de livraison

    RiaChristie

    PRO Vendeur favori

    4,9/5 sur + de 1 000 ventes

    Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781032542263_dbm

    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    Retour

    Horaires

        Note :


        Avis sur Video Based Machine Learning For Traffic Intersections de Banerjee, Tania Format Relié  - Livre Informatique

        Note : 0 0 avis sur Video Based Machine Learning For Traffic Intersections de Banerjee, Tania Format Relié  - Livre Informatique

        Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


        Présentation Video Based Machine Learning For Traffic Intersections de Banerjee, Tania Format Relié

         - Livre Informatique

        Livre Informatique - Banerjee, Tania - 01/10/2023 - Relié - Langue : Anglais

        . .

      • Auteur(s) : Banerjee, Tania - Huang, Xiaohui - Wu, Aotian
      • Editeur : Crc Press
      • Langue : Anglais
      • Parution : 01/10/2023
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 194.0
      • Expédition : 449
      • Dimensions : 23.4 x 15.6 x 1.5
      • ISBN : 1032542268



      • Résumé :
        Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches....

        Biographie:

        Tania Banerjee, PhD, is a research assistant scientist in Computer and Information Science and Engineering at the University of Florida. She earned her PhD in Computer Science from the University of Florida in 2012. She completed her MSc in Mathematics from the Indian Institute of Technology, Kharagpur. Her research interests are video analytics, intelligent transportation, data compression, and high performance computing.

        Xiaohui Huang, PhD, earned her PhD in the Department of Computer & Information Science & Engineering, University of Florida, Gainesville, Florida, in December, 2020. Her research interests include machine learning, computer vision, and intelligent transportation systems.

        Aotian Wu is currently a PhD student in the Department of Computer & Information Science & Engineering, University of Florida, Gainesville, Florida. Her research interests are machine learning, computer vision, and intelligent transportation systems.

        Ke Chen is currently a PhD student in the Department of Computer & Information Science & Engineering, University of Florida, Gainesville, Florida. His research interests are machine learning, computer architecture, operating systems and algorithms, and data structures.

        Anand Rangarajan, PhD, is a Professor, Department of CISE, University of Florida. His research interests are machine learning, computer vision, medical and hyperspectral imaging, and the science of consciousness.

        Sanjay Ranka, PhD, is a Distinguished Professor in the Department of Computer Information Science and Engineering at University of Florida. His current research interests are high performance computing and big data science with a focus on applications in CFD, healthcare and transportation. He has co-authored four books and 290+ journal and refereed conference articles. He is a Fellow of the IEEE and AAAS. He is an Associate Editor-in-Chief of the Journal of Parallel and Distributed Computing and an Associate Editor for ACM Computing Surveys, Applied Sciences, Applied Intelligence, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

        Sommaire:

        1. Introduction 2. Detection, Tracking, and Classification 3. Near-miss Detection 4. Severe Events 5. Performance-Safety Trade-offs 6. Trajectory Prediction 7. Vehicle Tracking across Multiple Intersections 8. User Interface 9. Conclusion

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        Le choixNeuf et occasion
        Minimum5% remboursés
        Le service clientsÀ votre écoute
        LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
        visavisa
        mastercardmastercard
        klarnaklarna
        paypalpaypal
        floafloa
        americanexpressamericanexpress
        Rakuten Logo
        • Rakuten Kobo
        • Rakuten TV
        • Rakuten Viber
        • Rakuten Viki
        • Plus de services
        • À propos de Rakuten
        Rakuten.com