Results 31 to 40 of about 2,990,008 (372)
Classification and analysis of the MNIST dataset using PCA and SVM algorithms
Introduction/purpose: The utilization of machine learning methods has become indispensable in analyzing large-scale, complex data in contemporary data-driven environments, with a diverse range of applications from optimizing business operations to ...
Mokhaled N. A. Al-Hamadani
doaj +1 more source
Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. Data visualization provides users with intuitive means to interactively explore and analyze
Bikakis, Nikos
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Creative User-Centered Visualization Design for Energy Analysts and Modelers [PDF]
We enhance a user-centered design process with techniques that deliberately promote creativity to identify opportunities for the visualization of data generated by a major energy supplier. Visualization prototypes developed in this way prove effective in
Dillingham, I.+8 more
core +1 more source
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This
Róbert Lakatos+7 more
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KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation [PDF]
Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those users without a background in data visualizations. However, existing rule-based approaches require tedious manual specifications of visualization rules by ...
arxiv +1 more source
GenomeGraphs: integrated genomic data visualization with R. [PDF]
BackgroundBiological studies involve a growing number of distinct high-throughput experiments to characterize samples of interest. There is a lack of methods to visualize these different genomic datasets in a versatile manner.
Bullard, James+3 more
core +3 more sources
Visualization of Heterogeneous Data [PDF]
Both the Resource Description Framework (RDF), used in the semantic web, and Maya Viz u-forms represent data as a graph of objects connected by labeled edges. Existing systems for flexible visualization of this kind of data require manual specification of the possible visualization roles for each data attribute. When the schema is large and unfamiliar,
A. Halevy+6 more
openaire +3 more sources
Global warming is expected to increase 1.5 °C between 2030 and 2052. This may lead to an increase in building energy consumption. With the changing climate, university campuses need to prepare to mitigate risks with building energy forecasting models ...
Haekyung Im+4 more
doaj +1 more source
MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration
Downstream applications for point cloud registration, like LiDAR Odometry, often conduct Iterative Closest Points (ICP) in the initial frame-to-frame matching and/or subsequent map refinement.
Kai Fischer+3 more
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Implementation of the Optimized Dual Fingerprint Algorithm for Protecting Privacy Information
The electromagnetic spectrum (EM) is made up of a variety of wavelengths, but the only wavelength that can be seen by the human visual system (HVS) is the visible wavelength, which is also referred to as the digital image processing (DIP) wavelength ...
D Ashritha Reddy
doaj