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This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.

Meteorology --- Remote sensing. --- Artificial intelligence. --- Computational intelligence. --- Mathematical models. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Computational Intelligence. --- Remote Sensing/Photogrammetry. --- Artificial Intelligence.

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Interest in central bank digital currencies (CBDCs) has been burgeoning with 134 countries now exploring its implementation. In December 2022, India started its CBDC pilot program to continue its transition towards a digitized payments economy. This paper presents the first empirical analysis utilizing detailed transaction data to explore the dynamics between CBDCs and existing digital payment methods, as well as the implications of increased CBDC usage on traditional bank deposits. Our findings reveal that policies which increase transaction costs for current digital payment methods catalyze a substitution effect, bolstering CBDC adoption. Furthermore, an uptick in CBDC usage is associated with a notable decline in bank, cash, and savings deposits, suggesting potential paths to bank disintermediation. This study contributes critical insights into the evolving competition between digital currencies and established financial infrastructures, highlighting the transformative potential of CBDCs on the broader economy.

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This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15-16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- programmeren (informatica) --- KI (kunstmatige intelligentie)