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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.

    "Time Series Analysis: Data, Methods, and Applications" ed. by Chun-Kit Ngan

    Posted By: exLib
    "Time Series Analysis: Data, Methods, and Applications" ed. by Chun-Kit Ngan

    "Time Series Analysis: Data, Methods, and Applications" ed. by Chun-Kit Ngan
    ITExLi | 2019 | ISBN: 1789847796 9781789847796 1789847788 9781789847789 1789847869 9781789847864 | 110 pages | PDF | 8 MB

    This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence.

    This book is divided into three sections and each section includes two chapters.
    Section 1 discusses analyzing multivariate and fuzzy time series.
    Section 2 focuses on developing deep neural networks for time series forecasting and classification.
    Section 3 describes solving real-world domain-specific problems using time series techniques.

    Contents
    1.Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series
    2.Fuzzy Forecast Based on Fuzzy Time Series
    3.Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting
    4.CNN Approaches for Time Series Classification
    5.Forecasting Shrimp and Fish Catch in Chilika Lake over Time Series Analysis
    6.Using Gray-Markov Model and Time Series Model to Predict Foreign Direct Investment Trend for Supporting China’s Economic Development


    1st true PDF with TOC BookMarkLinks