The aerosol optical thickness (AOT) over the region of Baikal was retrieved using the MODIS data and the V5.2 algorithm developed by NASA. The results were validated by the CE-318 observations. Though the R2 is not that high, the result could display the spatial distribution of aerosol. The AOT characteristics of spatial and temporal variation over the region of Baikal were analyzed: The mean A...

The most important underlying reasons for marketing failures are incomplete understanding of customer wants and needs the inability to accurately predict their future behaviors. This study develops a machine learning model estimate number departing foreign visitors from Türkiye by next 10 years gain deeper data between 2003 2021 extensively analyzed, multi-dimensional having higher-order fracti...

In a recent pilot study, errors in forecasts of future returns showed little differences when arithmetic and geometric mean calculations served as the basis for the projections. Using annual returns on the DJIA and S&P for 1954 to 2007, 1-year-, 5-year-ahead, and 10-year-ahead forecasts were made based on 5-, 10-, 15-, and 20-year histories based on both arithmetic and geometric averages. This ...

The warming trend of the past decade may be related to increasing amounts of downward solar radiation reaching the Earth’s surface. Recent decreases in tropospheric aerosols may also have contributed via both direct and indirect aerosol effects. The green line (above) reveals a long-term decreasing tendency in the tropospheric aerosol optical thickness (AOT) and the red line shows the overall b...

The ability to distract opponents is a key mechanic in many stealth games. Existing search-based approaches to stealth analysis, however, focus entirely on solving the non-detection problem, for which they rely on static, ahead-of-time models of guard movements that do not depend on player interaction. In this work we extend and optimize an approach based on heuristic search of stealth games to...

The signal at the top of the atmosphere will certainly contain information about both the surface and the atmosphere. To derive the geophysical parameters from satellites remote sensing images, the atmospheric effects must be decoupled. Aerosol Optical Thickness (AOT), an important aerosol optical property, should be correctly determined to remove the atmospheric effect. The retrieval process i...

Abstract Energy risk management requires an efficient prediction of CO2 future prices. We apply a neural network calibrated stochastic model to predict day ahead future prices suitable for risk management with a given time horizon (e.g. 10 business days). The model is training neural perceptron layers to learn the weights of historical time series points within a past horizon equal to the the m...