Warning: file_put_contents(cache/omni_40527c336875fe0f815819e1ee6e5e0a.json): Failed to open stream: Permission denied in /home/moozonian/public_html/classes/BooksResultsProvider.php on line 304
Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →
DIEBOLD, Steffen M. Hydrodynamik Und Lösungsgeschwindigkeit (rev. Fass.) - Untersuchungen zum Einfl
Abstract The objectives of the present study were to (1) examine both the hydrodynamics of compendial in vitro dissolution test apparatus as well as the respective in vivo gastrointestinal hydrodynami...
View Book →
Predicting Fashion Trends Using Machine Learning and Social Media Analytics
Abstract The rapid evolution of fashion trends, driven by dynamic consumer preferences and the influence of social media, presents significant challenges for fashion brands and retailers aiming to sta...
View Book →
Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
View Book →
Software for Exascale Computing - SPPEXA 2016-2019
...
View Book →
Algorithmic Graph Theory and Sage
...
View Book →
Forecasting and Assessing Risk of Individual Electricity Peaks
...
View Book →
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...
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 →
Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
View Book →
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...
View Book →
Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
View Book →
Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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 →
Linear Selection Indices in Modern Plant Breeding
...
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 →
SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
View Book →
Foundations of Machine Learning
...
View Book →
Data Science with Microsoft SQL Server 2016
...
View Book →
DTIC ADA410433: Nowcasting Surface Meteorological Parameters Using Successive Correction Method
The successive correction method was examined and evaluated statistically as a nowcasting method for surface meteorological parameters including temperature, dew point temperature, and horizontal wind...
View Book →
Implementation of innovative deep learning techniques in smart power systems
The integration of deep learning techniques into smart power systems has gained significant attention due to their potential to optimize energy management, enhance grid reliability, and enable efficie...
View Book →
Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →
Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
View Book →
Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →
Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
View Book →
Bayesian Methods in the Search for MH370
...
View Book →
Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →
Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →
Anisotropy Across Fields and Scales
...
View Book →
Long-term power prediction of photovoltaic panels based on meteorological parameters and support vec
Solar energy is the most generally accessible energy in the entire globe. Proper solar panel maintenance is necessary to reduce reliance on imported energy. Continuous monitoring of the solar panel's ...
View Book →
Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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 →
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...
View Book →
Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →
Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →
Graph Databases For Beginners
The #1 Platform for Connected Data...
View Book →
Pro TBB
C++ Parallel Programming with Threading Building Blocks...
View Book →
Problem Solving with Algorithms and Data Structures
...
View Book →
Solving PDEs in Python
The FEniCS Tutorial I...
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 →
Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
View Book →
Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
View Book →
Graph Databases
New Opportunities for Connected Data...
View Book →
New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
View Book →
Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
View Book →
Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
View Book →
Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
View Book →
Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →
International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →
Understanding Machine Learning
From Theory to Algorithms...
View Book →
Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
View Book →
Representation Learning for Natural Language Processing
...
View Book →
Developing Graphics Frameworks with Python and OpenGL
...
View Book →
Predicting Highway Construction Costs: Comparison of the Performance of Random Forest, Neural Networ
Inaccurate cost estimates have substantial effects on the final cost of construction projects and erode profits. Cost estimation at conceptual phase is a challenge as inadequate information is availab...
View Book →
NASA Technical Reports Server (NTRS) 20170010247: An Adjoint-Based Forecast Impact from Assimilating
This study examines the benefit of assimilating cloud motion vector (CMV) wind observations obtained from the Multi-angle Imaging SpectroRadiometer (MISR) within a Modern-Era Retrospective Analysis fo...
View Book →
Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
View Book →
Signal Computing
Digital Signals in the Software Domain...
View Book →
Variant Construction from Theoretical Foundation to Applications
...
View Book →
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 →
Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →
The Big Data Agenda
Data Ethics and Critical Data Studies...
View Book →
207. Classifying Student Performance An In Depth Analysis Using Machine Learning Algorithms
Abstract In recent years, analyzing and predicting student performance has been a significant challenge for educational institutions. Early analysis of student data can reveal their strengths and w...
View Book →
Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
View Book →
Predictive Modelling with Machine Learning for Sustainable Hybrid Energy System
In order to achieve sustainability and energy efficiency, hybrid energy systems must incorporate renewable energy sources. In order to maximize the performance of hybrid sustainable energy systems, th...
View Book →
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...
View Book →
Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
View Book →
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...
View Book →
Machine learning applications for predicting system production in renewable energy
Renewable energy systems play pivotal role in addressing the global challenge of sustainable energy production. Efficiently harnessing energy from renewable sources requires accurate prediction models...
View Book →
Spatial Thinking in Planning Practice
An Introduction to GIS...
View Book →
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...
View Book →
Automated machine learning for analysis and prediction of vehicle crashes
This work discusses the study and development of a graphical interface and implementation of a machine learning model for vehicle traffic injury and fatality prediction for a specified date range and ...
View Book →