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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: Recent Advances, New Perspectives and Applications" ed. by Jorge Rocha, Sandra Oliveira, Cláudia Viana

    Posted By: exLib
    "Time Series Analysis: Recent Advances, New Perspectives and Applications" ed. by Jorge Rocha, Sandra Oliveira, Cláudia Viana

    "Time Series Analysis: Recent Advances, New Perspectives and Applications" ed. by Jorge Rocha, Sandra Oliveira, Cláudia Viana
    ITexLi | 2024 | ISBN: 0854660526 9780854660520 0854660534 9780854660537 0854660542 9780854660544 | 269 pages | PDF | 44 MB

    This book includes contributions from researchers, scholars, and professionals about the most recent theory, models, and applications for interdisciplinary and multidisciplinary research encircling disciplines of computer science, mathematics, statistics, geography, and more in time series analysis and forecasting/backcasting.

    Time series analysis describes, explains, and predicts changes in a phenomenon through time. People have utilized techniques that add a distinctive spatial dimension to this type of analysis. Major applications of spatiotemporal analysis include forecasting epidemics, analyzing the development of traffic conditions in urban networks, and forecasting/backcasting economic risks such as those associated with changing house prices and the occurrence of hazardous events.

    Contents
    1. Time Series Analysis
    2. Time Series Classification: A Review of Algorithms and Implementations
    3. A Heartbeat-Interval Time Series Analysis, Modified Detrended Fluctuation Analysis, mDFA, Distinguishes between Stressed- and Happy-Heartbeats: From Invertebrate Animals to Humans
    4. Use of the Gini Coefficient for the Analysis of Heart Rate Variability in Sick and Healthy Individuals
    5. Handling Missing Data in the Time-Series Data from Wearables
    6. Variability Analysis of Observational Time Series: An Overview of the Decomposition Methods for Non-Stationary and Noisy Signals
    7. Segmentation of High-Dimensional Matrix-Variate Time Series
    8. Neural Networks in Nonlinear Time Series: A Subsampling Model Selection Procedure
    9. Analysis and Modeling of Rainfed Crops Dynamics Based on NDVI Time Series in Central Spain
    10. Momentum Periods of Feedback Trading toward Exchange Rate Volatility in ASEAN Countries
    11. Electric Fault Diagnosis in Induction Machines Using Motor Current Signature Analysis (MCSA)
    12. A Comparative Analysis of Image Encoding of Time Series for Anomaly Detection
    13. Fractal Dynamics and Fibonacci Sequences: A Time Series Analysis of Cultural Attractor Landscapes

    1st true PDF with TOC BookMarkLinks

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