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Sujet

  • Climatological data ; Wave opvertoping ; Machine learning technique

Auteur

  • Alkama , Hafsa Hadil
    1
  • Brahim , Mohammed
    1

Langue du document

  • Anglais
    1

Type de document

  • Thèse
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  |   Filtré par :    Climatological data ; Wave opvertoping ; Machine learning technique

Wave overtopping predictions using machine learning technique

Wave overtopping predictions using machine learning technique


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the creation of our Business Model Canvas (BMC) has provided us with a clear and comprehensive view of our entire economic model. Through this model, which encompasses the nine key components, we now have a structured and visual approach that serves as a powerful tool to understand, analyze, explain, and effectively communicate our startup idea. The BMC has allowed us to highlight the relationships and interactions among different parts of our business, assisting us in making informed decisions and identifying potential areas for improvement. By establishing strong connections between our unique value proposition, customer segments, distribution channels, revenue sources, and strategic partnerships, we have created a solid overall vision for our project. This process has also shed light on the opportunities and challenges we will face, enabling us to refine our approach and prepare for the success of our business. With this BMC in hand, we are ready to confidently and determinedly move on to the next stage of our entrepreneurial journey.

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Wave overtopping predictions using machine learning technique

Auteur
Brahim , Mohammed, Alkama , Hafsa Hadil
Sujet
Climatological data ; Wave opvertoping ; Machine learning technique
Cote
551.483 653 BRA/M
Date_TXT
Dely-Ibrahim: Enssmal, 2023
Type de document
Thèse
Lieu de soutennance
ENSSMAL

1 - 1 / 1 résultat(s)

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La bibliothèque de l’ENSSMAL est une bibliothèque spécialisée englobant les domaines des sciences de la mer et de l’aménagement du littoral à travers son contenu des fils conducteurs à la matière grise et son contenant par son site dominant et sa forme de bateau. Elle a pour vocation de desservir prioritairement les besoins documentaires des utilisateurs (Etudiants, Enseignants et Chercheurs) et d’assurer à l’ensemble des utilisateurs l’accès à l’information scientifique et technologique.


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