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Semantic Kriging for Spatio-temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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Semantic Kriging for Spatio temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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Parameterization Schemes

Numerical weather prediction models play an increasingly important role in meteorology, both in short- and medium-range forecasting and;

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Prediction Markets

Accurate predictions are essential in many areas such as corporate decision making, weather forecasting and technology forecasting;

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Pre-Earthquake Processes

research on earthquake forecasting and prediction based on observations and physical modeling in China, Greece, Italy, France, Japan, Russia;

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Prediction Machines

by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes;

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Extreme Events and Natural Hazards

. This understanding is critical to the development of strategies for the prediction of natural hazards and mitigation of their adverse;

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Prediction Machines

in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI;

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The Emergence of Numerical Weather Prediction

prediction and climate modelling have now reached a high level of sophistication. This book, first published in 2006, tells the story of Richardson's;

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The Emergence of Numerical Weather Prediction

prediction and climate modelling have now reached a high level of sophistication. This book, first published in 2006, tells the story of Richardson's;

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Weather Prediction by Numerical Process

of the free atmosphere; and powerful automatic computer equipment. Over the ensuing years, progress in numerical weather prediction has been;

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Machine Learning for Protein Subcellular Localization Prediction

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction;

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Microclimate

basis for understanding environmental biophysics, then covers the prediction, manipulation, and management of the climate near the ground.;

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Highlights in Helioclimatology

book also provides tools for aiding in hurricane prediction, specifically spectral analysis and signal theory. In addition to aiding readers;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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Clinical Prediction Models

Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become;

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Basic Wave Mechanics

, an understanding of the basic techniques for wave analysis, techniques for practical calculation and prediction of waves and applied wave;

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Physics and Mechanics of Soil Liquefaction

prediction. The contributions are divided into eight sections, which include: factors affecting liquefaction susceptibility and field studies;

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Inference and Prediction in Large Dimensions

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and;

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Recent Advances In Predicting And Preventing Epileptic Seizures - Proceedings Of The 5th International Workshop On Seizure Prediction

, microseizures and their role in the generation of clinical seizures, the impact of sleep and long-biological cycles on seizure prediction, as well as;

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Practical Examples of Energy Optimization Models

, discussing smart grids, renewable energy grid integration, prediction control models, and econometric models for predicting the global solar;

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Conformal and Probabilistic Prediction with Applications

This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with;

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Uncertainties in Numerical Weather Prediction

Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and;

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R Deep Learning Essentials

Build automatic classification and prediction models using unsupervised learning About This Book * Harness the ability to build;

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Developing VO2max Prediction Models Using Machine Learning Methods

The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support;

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Prediction of Turbulent Flows

The prediction of turbulent flows is of paramount importance in the development of complex engineering systems involving flow, heat and;

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Computational Methods for Understanding Riboswitches

. This volume covers computational prediction RNA structure and dynamics, including such topics as computational modeling of RNA secondary and;

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