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Bayesian Methods in the Search for MH370
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Forecasting rupiah exchange rate with learning vector quantization neural network
The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible deve...
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Signal Computing
Digital Signals in the Software Domain...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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DTIC ADA609847: Optimizing Scrum Mesoscale Eddy Forecasts
Our long term technical goal is to produce a tested adjoint for ROMS (the Regional Ocean Modeling System, descended from SCRUM) that is suitable for general use by ROMS modelers. This is complementary...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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Problem Solving with Algorithms and Data Structures
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Enhancing Regression Forecasting with Hybrid Ensemble–Neural Network Models
In regression forecasting problems based on large-scale and noisy datasets, there is often a need to choose between classical machine learning algorithms and modern neural network methods. Classical m...
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A Feature Fusion Based Forecasting Model for Financial Time Series.
This article is from PLoS ONE , volume 9 . Abstract Predicting the stock market has become an increasingly interesting research area for both researchers and investors, and many prediction models have...
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Forecasting and Assessing Risk of Individual Electricity Peaks
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Modeling the Dynamics of Harmful Phytoplankton Species Concentration in Taganrog Bay of the Azov Sea
Introduction. Researchers at the Southern Scientific Center of the Russian Academy of Sciences have repeatedly observed abundant microalgae blooms in Taganrog Bay, which negatively impact the health...
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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Anisotropy Across Fields and Scales
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Cryptocurrency analysis using machine learning and deep learning approaches
ABSTRACT Since cryptocurrencies are becoming more widely used and accepted in the financial system, precise price forecasting is essential for optimizing bitcoin investments. In this research study, w...
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DTIC ADA281223: A Three Dimensional Mesoscale Atmospheric Simulation System for Use in Various Mobil
A self-contained mesoscale numerical weather prediction system which can generate real-time or historical simulations on a high performance moderate- cost workstation computer was developed and tested...
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Linear Selection Indices in Modern Plant Breeding
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Developing Graphics Frameworks with Python and OpenGL
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Representation Learning for Natural Language Processing
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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DTIC ADA449528: Applying New Methods to Flare Prediction II: Realization of Methods for Photospheric
The goals for this AFOSR contract focused on analysis and interpretation of solar magnetic field data in the context of solar flare prediction. Drs. Leka (P.I), Barnes and Metcalf (with collaborators)...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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Prediction the inside variables of even-span glass greenhouse with special structure by artificial n
Introduction Controlling greenhouse microclimate not only influences the growth of plants, but is also critical in the spread of diseases inside the greenhouse. The microclimate parameters are inside ...
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Integrating random forest model and internet of things-based sensor for smart poultry farm monitorin
The global poultry industry has encountered growing concerns related to foodborne illnesses, misuse of antibiotics, and environmental impacts. To tackle these issues, this study aims to develop an int...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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DTIC AD0410280: UPPER WIND CORRELATIONS IN SOUTHWESTERN UNITED STATES
Vector correlation coefficients of upper winds at El Paso, Midland, and Amarillo, Texas; Fort Huachuca, Arizona; and Albuquerque, New Mexico; and between El Paso and the other stations are presented b...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Understanding Machine Learning
From Theory to Algorithms...
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DTIC ADA1045919: Tropical Storm Movement Based on Synoptic Map Typing Using Empirical Orthogonal Fun
This initial study investigates the feasibility of using weather map types to forecast tropical storm/typhoon movement in the Western North Pacific Ocean. Fleet Numerical Oceanographic Center's hemisp...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Graph Databases
New Opportunities for Connected Data...
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Application of the Navy's numerical hurricane and typhoon forecast scheme to 1967 Atlantic tropical-
Title from cover...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Software for Exascale Computing - SPPEXA 2016-2019
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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CIA Reading Room cia-rdp33-02415a000300340010-9: FORECAST REQUIREMENTS FOR UNITED STATES OPERATIONS
Approved For( Release P33(02415A000300340010-9 FORECAST REQUIREMENTS FOR UNITED STATES OPERATIONS 1. Detailed Forecasts For Site a. Weather b. Clouds c. Visibility d. Surface winds 2. Wind forecasts f...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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DTIC ADA143393: Experiments in Objective Aviation Weather Forecasting Using Upper-Level Steering.
This report describes a series of three experiments designed to test the feasibility of using upper-level steering of weather patterns to produce short-range local forecasts. Objective forecast models...
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The Relationship between Severe and Pervasive Droughts and Wet Years in Half East of Iran with Synop
Introduction Drought is a reptile climatic phenomenon whose occurrence is unavoidable in all climates. Because of human and ecosystem dependence on the existence of water and lack of water resources i...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Algorithmic Graph Theory and Sage
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Foundations of Machine Learning
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Variant Construction from Theoretical Foundation to Applications
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DTIC ADA484442: Operational Utilization of High Resolution Ocean Surface Wind Vectors (25km or Bette
The work proposed here seeks to exploit currently and soon to be available satellite ocean surface vector wind data in the operational weather forecasting environment. This work will build upon an ong...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Electrocardiogram sequences data analytics and classification using unsupervised and supervised mach
This paper explores the prediction of cardiovascular disease (CVD) through the classification of electrocardiogram (ECG) sequences using both supervised and unsupervised machine learning (ML) algorith...
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Solving PDEs in Python
The FEniCS Tutorial I...
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DTIC ADA1045912: Tropical Storm Movement Based on Synoptic Map Typing Using Empirical Orthogonal Fun
This initial study investigates the feasibility of using weather map types to forecast tropical storm/typhoon movement in the Western North Pacific Ocean. Fleet Numerical Oceanographic Center's hemisp...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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An Accurate Medium-Term Load Forecasting based on Hybrid Technique
An accurate medium term load forecasting is significant for power generation scheduling, economic and reliable operation in power system. Most of classical approach for medium term load forecasting on...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Data Science with Microsoft SQL Server 2016
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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