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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.

    Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

    Posted By: AvaxGenius
    Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

    Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications By Muhammad Summair Raza Usman Qamar
    English | PDF | 2017 | 200 Pages | ISBN : 9811049645 | 6.78 MB

    The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers.
    Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality.
    Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.

    1) In depth explanation of rough set theory along with examples of the concepts.
    2) Detailed discussion on idea of feature selection.
    3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations.
    4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each.
    5) In depth investigation of various application areas using rough set based feature selection.
    6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs
    7) Program files of various representative Feature Selection algorithms along with explanation of each.