Tags
Language
Tags
<<
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌
    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca
    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    1. Home
    2. eBooks & eLearning
    3. Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)

    Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)

    Posted By: naag
    Date: 26 Jun 2025 04:58:37
    Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)

    Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) (Federated learning for Internet of Vehicles: IoV Image Processing, … Vision and Intelligent Systems Book 3)
    English | 2024 | ASIN: B0DRVQYLRQ | 362 pages | EPUB (True) | 8.63 MB

    Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing.

    Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles.

    Key Features:
    - Addresses data privacy, secure communication, and adaptive solutions in IoV
    - Explores federated learning applications in real-time IoV systems
    - Combines practical examples with theoretical foundations in IoV technology
    - Includes emerging research areas in IoV federated learning frameworks
    UPWARDS