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Forecasting the Number of Unemployment in Bali Province using the Support Vector Machine Method
Unemployment has an impact on economic development in Indonesia. Bali is one of the provinces in Indonesia which has had a high unemployment rate in the last 13 years. Forecasting the number of unempl...
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...
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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...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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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...
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Solving PDEs in Python
The FEniCS Tutorial I...
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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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Anisotropy Across Fields and Scales
...
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Problem Solving with Algorithms and Data Structures
...
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...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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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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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Foundations of Machine Learning
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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 →Techniques of Forecasting Using Vector Autoregressions
No description available....
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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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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Studies of African Economies From Past to Future Vol.2
(Ch.1) The Chapter investigated the transmission channels of monetary policy shocks on real per capita output in Nigeria for the period 1981 to 2017 using Vector Auto-regressive framework. The results...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Advancing chronic pain relief cloud-based remote management with machine learning in healthcare
Healthcare providers face a significant challenge in the treatment of chronic pain, requiring creative responses to enhance patient outcomes and streamline healthcare delivery. It suggests using cloud...
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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 ...
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A Comparative Study of Machine Learning Models for Telecom Customer Retention
Due to growing market saturation and cheap switching costs, client retention has become a crucial concern in todays fiercely competitive telecom sector. For telecom service providers, reliable Forecas...
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Graph Databases
New Opportunities for Connected Data...
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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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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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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 →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...
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Advanced data balancing techniques with machine learning models for acute liver failure prediction
Amongst various diseases, one of the severe diseases is acute liver failure (ALF) and it is a quick decline in liver health that normally lasts a few days to a few weeks. Machine learning (ML) techniq...
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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...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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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...
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Representation Learning for Natural Language Processing
...
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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 ...
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Data Science with Microsoft SQL Server 2016
...
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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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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...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Forecast Skill of Targeted Observations: a Singular Vector Based Diagnostic
No description available....
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DTIC ADA470360: Operational Multivariate Ocean Data Assimilation
A fully three-dimensional, multivariate, optimum-interpolation ocean data assimilation system has been developed that produces simultaneous analyses of temperature. salinity. geopotential and vector v...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
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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...
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Bayesian Methods in the Search for MH370
...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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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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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Signal Computing
Digital Signals in the Software Domain...
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CIA Reading Room cia-rdp78b05707a001000170001-5: STATUS REPORT ON UTILIZATION OF THE IBM 1401 AND RE
Declassified in Part - Sanitized Copy Approved for Release,2014/03/05 : CIA-RDP78B05707A001000170001-5 R STATUS REPORT ON UTILIZATION OF THE IBM 1401 AND REMINGTON RAND 490 COMPUTERS 4ThI&s contains i...
View Book →Forecasting Aggregated Vector Arma Processes
No description available....
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Developing Graphics Frameworks with Python and OpenGL
...
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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...
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Understanding Machine Learning
From Theory to Algorithms...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Variant Construction from Theoretical Foundation to Applications
...
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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...
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Algorithmic Graph Theory and Sage
...
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DTIC ADA428276: Statistical Studies of Mesoscale Forecast Models MM5 and WRF
Two mesoscale weather forecasting models--the Mesoscale Model Version 5 (MM5) and the Weather Research and Forecast (WRF)--were statistically evaluated over two different geographical areas, Utah and ...
View Book →Evaluating the Accuracy of Forecasts from Vector Autoregressions
No description available....
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DTIC ADA603034: 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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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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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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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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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....
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Development of a patient health monitoring system based on the internet of things with a module for
Recent issues related to human health in the world have shown the importance of telemedicine considering necessities to perform the remote monitoring of patients. In this study, using a patient smart ...
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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...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
View Book →Vector-autoregression Forecast Models for the Third District States
No description available....
View Book →Simultaneous Prediction Intervals for Multiple Steps Ahead Forecasts in Vector Time Series
No description available....
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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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Linear Selection Indices in Modern Plant Breeding
...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Analyzing and Prediction of a Gold Price with ML Algorithms
Gold is a substance, shift element with an intense and metallic yellow appearance. By the above qualities of gold makes highly valued and versatile element. It has prominently played an important role...
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