Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Driven Urban Development

Data-Driven Urban Development

Rosário, João Mauricio
Mercier, Sylvie
Frachet, Jean-Christophe

Paperback

Technology & Engineering

ISBN10: 6207843045
ISBN13: 9786207843046
Publisher: LAP Lambert Academic Publishing
Published: Sep 12 2024
Pages: 184
Weight: 0.61
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
Generating data for the manufacturing of augmented, connected, and smart cities is a great opportunity to explore key concepts, challenges, and solutions. The use of relational databases and data prediction models using Machine Learning (ML), Deep Learning (DL), and Neural Networks (NN) techniques is crucial for collecting, organizing and exploitation of data in the context of smart cities.By integrating these elements, you shed light on how relational databases provide an effective framework for storing urban data and how advanced ML, DL and RN techniques can predict, analyze, and derive actionable insights from those data.The integration of Artificial Intelligence (AI) and Robotics plays a crucial role in the evolution towards smart and connected cities.A detailed case studies and practical applications of smart city concepts are presented in a second volume, providing real-world examples and insights into the implementation of smart city technologies.

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