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    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.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Federated Learning for Wireless Networks

    Posted By: AvaxGenius
    Federated Learning for Wireless Networks

    Federated Learning for Wireless Networks by Choong Seon Hong, Latif U. Khan, Mingzhe Chen, Dawei Chen, Walid Saad, Zhu Han
    English | EPUB | 2021 | 265 Pages | ISBN : 9811649626 | 28.8 MB

    Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links.

    Security Assessment in Vehicular Networks

    Posted By: AvaxGenius
    Security Assessment in Vehicular Networks

    Security Assessment in Vehicular Networks by Suguo Du
    English | PDF | 2013 | 58 Pages | ISBN : 1461493560 | 1.5 MB

    This book presents several novel approaches to model the interaction between the attacker and the defender and assess the security of Vehicular Ad Hoc Networks (VANETs). The first security assessment approach is based on the attack tree security assessment model, which leverages tree based methods to analyze the risk of the system and identify the possible attacking strategies the adversaries may launch.

    Mobile Edge Caching in Heterogeneous Vehicular Networks

    Posted By: AvaxGenius
    Mobile Edge Caching in Heterogeneous Vehicular Networks

    Mobile Edge Caching in Heterogeneous Vehicular Networks by Huaqing Wu
    English | EPUB | 2022 | 127 Pages | ISBN : 3030888770 | 12.2 MB

    To support smart vehicular services especially in the future driverless era, the vehicular networks are expected to support high-bandwidth content delivery and reliable accessibility of multifarious applications. However, the limited radio spectrum resources, the inflexibility in accommodating dynamic traffic demands, and the geographically constrained fixed infrastructure deployment of current terrestrial networks pose great challenges in ensuring ubiquitous, flexible, and reliable network connectivity.

    Advances in Vehicular Networks

    Posted By: AvaxGenius
    Advances in Vehicular Networks

    Advances in Vehicular Networks by Barbara Mavì Masini
    English | PDF | 2020 | 140 Pages | ISBN : 3039437992 | 16.1 MB

    Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.

    The Next Generation Vehicular Networks, Modeling, Algorithm and Applications

    Posted By: arundhati
    The Next Generation Vehicular Networks, Modeling, Algorithm and Applications

    Zhou Su, "The Next Generation Vehicular Networks, Modeling, Algorithm and Applications "
    English | ISBN: 3030568261 | 2021 | 171 pages | PDF | 6 MB

    Poisson Line Cox Process: Foundations and Applications to Vehicular Networks Synthesis Lectures

    Posted By: Underaglassmoon
    Poisson Line Cox Process: Foundations and Applications to Vehicular Networks Synthesis Lectures

    Poisson Line Cox Process: Foundations and Applications to Vehicular Networks Synthesis Lectures
    Morgan & Claypool | English | 2020 | ISBN-10: 1681738449 | 150 pages | PDF | 7.72 MB

    by Harpreet S Dhillon (Author), Vishnu Vardhan Chetlur (Author)
    This book provides a comprehensive treatment of the Poisson line Cox process (PLCP) and its applications to vehicular networks