Warning: file_put_contents(cache/omni_c9f35cbf9df7f6060db834b19de8995e.json): Failed to open stream: Permission denied in /home/moozonian/public_html/classes/BooksResultsProvider.php on line 304
Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
View Book →
Forecasting and Assessing Risk of Individual Electricity Peaks
...
View Book →
Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →
Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
View Book →
DTIC ADA073081: Shortrange Forecasting through Extrapolation of Satellite Imagery Patterns. Part I.
The advent of the geosynchronous satellite with 1-km resolution has presented meteorologistis with the opportunity to routinely track and forecast smaller scale weather phenomena than hitherto was pos...
View Book →
Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
View Book →Vector-autoregression Forecast Models for the Third District States
No description available....
View Book →
Spatial Thinking in Planning Practice
An Introduction to GIS...
View Book →
DTIC ADA537222: Predictability Studies Using Adjoint Methods
The ultimate goal of this research is to increase our understanding of the theoretical and practical limits on atmospheric predictability so as to guide the development of new strategies for observing...
View Book →
New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
View Book →
Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
View Book →
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...
View Book →
Hands-On Machine Learning with Scikit-Learn and PyTorch
The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill se...
View Book →
Anisotropy Across Fields and Scales
...
View Book →Simultaneous Prediction Intervals for Multiple Steps Ahead Forecasts in Vector Time Series
No description available....
View Book →
Linear Selection Indices in Modern Plant Breeding
...
View Book →
Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →
Multi-Step Ahead Forecasting of Vector Time Series
This paper develops the theory of multi-step ahead forecasting for vector time series that exhibit temporal nonstationarity and co-integration. We treat the case of a semi-infinite past by developing ...
View Book →
Forecasting Aggregated Vector Arma Processes
No description available....
View Book →
Representation Learning for Natural Language Processing
...
View Book →Forecasting in Vector Autoregressions with Many Predictors
This paper addresses the issue of improving the forecasting performance of vector autoregressions (VARs) when the set of available predictors is inconveniently large to handle with methods and diagnos...
View Book →
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...
View Book →
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...
View Book →
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...
View Book →
International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →
Graph Databases For Beginners
The #1 Platform for Connected Data...
View Book →
Variational retrieval of Eastern Pacific atmospheric boundary layer parameters using ATOVS with the
A one-dimensional variational (1DVAR) retrieval scheme is used to investigate the ability of the Advanced TIROS Operational Vertical Sounder (ATOVS) to contribute information to a mesoscale NWP system...
View Book →
Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
View Book →
SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
View Book →
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...
View Book →
The Big Data Agenda
Data Ethics and Critical Data Studies...
View Book →Big Data in Bioeconomy
This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and...
View Book →Evaluating the Accuracy of Forecasts from Vector Autoregressions
No description available....
View Book →
Ubiquitous Computing and Ambient Intelligence: Personalisation and User Adapted Services
This book constitutes the refereed proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2014, held in Belfast, UK, in December 2014. The 57 papers pr...
View Book →
Advanced Computational and Communication Paradigms
This book presents high-quality, peer-reviewed papers from Fourth International Conference on Advanced Computational and Communication Paradigms (ICACCP 2023), organized by Department of Computer Scie...
View Book →
Graph Databases
New Opportunities for Connected Data...
View Book →
Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
View Book →
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...
View Book →
Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
View Book →
Signal Computing
Digital Signals in the Software Domain...
View Book →
Problem Solving with Algorithms and Data Structures
...
View Book →
Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →
Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
View Book →Challenges and Opportunities in Artificial Intelligence
Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artifical Intelligence (AI) is transforming modern engineer...
View Book →Three Essays on Updating Forecasts in Vector Autoregression Models
Forecasting firms' earnings has long been an interest of market participants and academics. Traditional forecasting studies in a multivariate time series setting do not take into account that the timi...
View Book →
Global Weather Modeling with Vector Spherical Harmonics
A three-dimensional spectral global weather prediction model based on the Mintz-Arakawa model, using vector spherical harmonics has been used for prediction with real data....
View Book →
PostGIS Cookbook
Create and manage spatial data with PostGIS Key Features Import and export geographic data from the PostGIS database using the available tools Maintain, optimize, and fine-tune spatial data for long-t...
View Book →
Forecast Skill of Targeted Observations: a Singular Vector Based Diagnostic
No description available....
View Book →
Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →
Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
View Book →
Comparative analysis of machine learning models for breast cancer prediction and diagnosis: a dual-d
Breast cancer is ranked as a significant cause of mortality among females globally. Its complex nature poses principal challenges for physicians and researchers for rapid diagnosis and prognosis. Henc...
View Book →
Developing Graphics Frameworks with Python and OpenGL
...
View Book →
The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
View Book →
Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
View Book →
Algorithmic Graph Theory and Sage
...
View Book →
Solving PDEs in Python
The FEniCS Tutorial I...
View Book →
Understanding Machine Learning
From Theory to Algorithms...
View Book →
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)...
View Book →
Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
View Book →
DTIC ADA411840: Evaluation Study of Mesoscale Models MM5 and BFM Over the Model Domains of Utah Usin
The forecast skills of the Penn State/National Center for Atmospheric Research Mesoscale Model version 5 (MM5), and the Battlescale Forecast Model (BFM) were statistically evaluated by comparing the m...
View Book →
Bayesian Methods in the Search for MH370
...
View Book →
Estimation of Suspended Sediment Load Using Integrated Intelligent Methods with Considering Model Un
Introduction: Sediment transportation and accurate estimation of its rate is a significant issue for river engineers and researchers. So far, various and complex relationships have been proposed to pr...
View Book →
Contemporary Studies of Risks in Emerging Technology
With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current a...
View Book →
Variant Construction from Theoretical Foundation to Applications
...
View Book →
Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →
Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →
An efficiency metaheuristic model to predicting customers churn in the business market with machine
Metaheuristics is an optimization method that improves and completes a task in a short period of time based on its objective function. The goal of metaheuristics is to search the search space for the ...
View Book →Techniques of Forecasting Using Vector Autoregressions
No description available....
View Book →
Predicting Co occurring Diseases with Machine Learning A Multi Label Classification Approach
The sheer volume of health information were generating today, and the fact that so many widespread and infectious diseases are out there, has really made it critical that we have smart tools that can ...
View Book →
DTIC ADA246993: A Diagnostic Study of Rapidly Developing Cyclones Using Surface-Based Q Vectors
Accurate short-term (0-6 h) forecasts of rapid cyclogenesis are important to both civilian and military maritime interests. Because upper-air observations over the ocean are sparse, the relatively ple...
View Book →
Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →
Accurate state estimation from uncertain data and models: an application of data assimilation to mat
This article is from Biology Direct , volume 6 . Abstract Background: Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a...
View Book →
Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
View Book →
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...
View Book →
Foundations of Machine Learning
...
View Book →
Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
View Book →
Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
View Book →
Data Science with Microsoft SQL Server 2016
...
View Book →
Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
View Book →
Algorithms for Decision Making
...
View Book →
Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
View Book →
Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →
Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
View Book →
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...
View Book →
Software for Exascale Computing - SPPEXA 2016-2019
...
View Book →
Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
View Book →
DTIC ADA1045913: 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...
View Book →
Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →A Simple Guide to Retrieval Augmented Generation
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external know...
View Book →