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Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid 19 Pandemic
The opinion of disease is important for Covid 19 as the antigen kit and RTPCR are unperfect and should be better for diagnosing such disease. Real Time Return Transcription real time converse transcri...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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DTIC ADA631047: Implementation and Research on the Operational Use of the Mesoscale Prediction Model
Our long-term goal is to implement an operational high-resolution atmospheric data assimilation and prediction system and to use it for daily weather forecasting. To date we have worked on several ope...
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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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Manual of Digital Earth
...
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Data Science with Microsoft SQL Server 2016
...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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DTIC ADA234744: Development of a Vector Spherical Harmonic (VSH) Model of the Neutral Thermosphere.
The Air Force has requirements for accurate knowledge and specification of the state variables of the Earth's thermosphere. Work done under this contract will lead to a new model of global thermospher...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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DTIC ADA526946: Bayesian Hierarchical Models to Augment the Mediterranean Forecast System. Consolida
The long term goal of this interdisciplinary research program continues to be the demonstration of Bayesian Hierarchical Model (BHM) utility in several aspects of operational ocean forecasting. The sp...
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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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A Hybrid LSSVR/HMM-Based Prognostic Approach.
This article is from Sensors (Basel, Switzerland) , volume 13 . Abstract In a health management system, prognostics, which is an engineering discipline that predicts a system's future health, is an im...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Multimedia Big Data Computing for IoT Applications
Concepts, Paradigms and Solutions...
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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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Linked Democracy
Foundations, Tools, and Applications...
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Understanding Machine Learning
From Theory to Algorithms...
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Security Infrastructure Technology for Integrated Utilization of Big Data
Applied to the Living Safety and Medical Fields...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Development of internet of vehicles and recurrent neural network enabled intelligent transportation
The number of deaths has increased as a direct result of the increased frequency of traffic accidents, congestion, and other risk factors. Developing countries have prioritised the development of inte...
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Data Protection for the Hybrid Cloud
Microsoft System Center...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Fundamentals of Clinical Data Science
...
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DTIC ADA196379: Tropical Cyclone Observation and Forecasting with and without Aircraft Reconnaissanc
This thesis attempts to better quantify the contribution of aircraft reconnaissance to the accuracy of Tropical Cyclone (TC) center fix, motion determination, and intensity estimates along with the im...
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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25 Secrets for Faster ASP.NET Applications
...
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Old and New Perspectives on Mortality Forecasting
...
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Earth Observation Open Science and Innovation
...
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Intel Trusted Execution Technology for Server Platforms
A Guide to More Secure Datacenters...
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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High-Performance Modelling and Simulation for Big Data Applications
Selected Results of the COST Action IC1406 cHiPSet...
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OBSERVATIONS OF ENVIRONMENTAL FACTORS AFFECTING INTENSITY CHANGES DURING THE TRACK REVERSAL OF HURRI
The objective of this thesis is to better understand the environmental factors and internal processes that contributed to the unusual track reversal of Hurricane Joaquin (2015) north of the Bahamas an...
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Problem Solving with Algorithms and Data Structures
...
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DTIC ADA242880: Front Detection with Doppler Radar
A technique to detect wind discontinuities associated with gust and synoptic fronts. It first transforms the Doppler velocity and reflectivity data into gradient vector fields by applying a series of ...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Graph Databases
New Opportunities for Connected Data...
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DTIC ADA601834: Bayesian Hierarchical Model Characterization of Model Error in Ocean Data Assimilati
The Bayesian Hierarchical Model (BHM) methodology is exploited to identify, characterize, and model the irreducible model error in ocean data assimilation and forecast systems. We describe 4 objective...
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DTIC ADA531924: Bayesian Hierarchical Models to Augment the Mediterranean Forecast System Consolidat
The long term goal of this interdisciplinary research program continues to be the demonstration of Bayesian Hierarchical Model (BHM) utility in several aspects of operational ocean forecasting. The sp...
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DTIC ADA575703: Lightning in the Ionosphere with C/NOFS
The Lightning Detector instrument, which is part of the VEFI (Vector Electric Field Instrument) on-board the C/NOFS (Communications / Navigation Outage Forecast System) was jointly developed with supp...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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Energy Efficient Servers
Blueprints for Data Center Optimization...
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Data Collection in Fragile States
Innovations from Africa and Beyond...
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Variant Construction from Theoretical Foundation to Applications
...
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Representation Learning for Natural Language Processing
...
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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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CIA Reading Room 05824232: ON FORECASTING THE ANNUAL CYCLE OF CRITICAL IONOSPHERE FREQUENCIES AND MA
pproved for Release: 2017/09/11 C05824232 $v" Op Forecasting, the!,tag. oCz.L_..ie Fr9010.21es and Magnetio- by G. M. Bartenev Izvestlya Akademli Nauk SSSR, Otdeleniye Tekhnicheskikh Nauk, No 9, pp 11...
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CIA Reading Room cia-rdp70-00058r000100210026-9: COMPARISON OF THE US AND SOVIET UNION ECONOMIES - T
Approved For Release(I RA-RD -06 Office of t# e Policy Advisor Background Information USSR 20 November 1959 COMPARISON OF THE US AND SOVI T ECONOI'iIES - THE LABOR FORCE I.- Introduction II. Statement...
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Migrating SQL Server Databases to Azure
Microsoft Azure Essentials...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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Data Information Literacy
Librarians, Data, and the Education of a New Generation of Researchers...
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Projection-Based Clustering through Self-Organization and Swarm Intelligence
Combining Cluster Analysis with the Visualization of High-Dimensional Data...
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The Data Journalism Handbook
How Journalists Can Use Data to Improve the News...
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Disrupting Finance
FinTech and Strategy in the 21st Century...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Foundations of Machine Learning
...
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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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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Learning Neo4j
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database...
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The Elements of Data Analytic Style
A guide for people who want to analyze data...
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Bayesian Methods in the Search for MH370
...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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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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Factors influencing U.S. canine heartworm (Dirofilaria immitis) prevalence.
This article is from Parasites & Vectors , volume 7 . Abstract Background: This paper examines the individual factors that influence prevalence rates of canine heartworm in the contiguous United State...
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DTIC ADA393078: Developing of Predictors for Cloud-to-Ground Lightning Activity Using Atmospheric St
A detailed examination was performed on several commonly applied atmospheric stability indices and lightning activity from 1993 to 2000 to determine the indices usefulness as predictive tools for dete...
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Big Data in Context
Legal, Social and Technological Insights...
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Discovery of Approaches by Various Machine learning Ensemble Model and Features Selection Method in
Heart disease is one of the leading killers that are widely recognized throughout the globe. Large volumes of clinical data are stored in a variety of systems and biological equipment at hospitals. It...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Short term load forecasting using evolutionary algorithm for Tajikistan
Load forecasting is a significant element in the energy management system of power systems. Precise load forecasting aids electric utilities to conduct decisions of unit commitment, reduction of spinn...
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The Definitive Guide to Graph Databases
for the RDBMS Developer...
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