Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful ...
GeoCue will showcase the new add-ons at Geo Week 2026, where attendees can learn about licensing, see workflow examples and ...
Abstract: The significance of fiducial marker detection in neuroimaging cannot be overstated, as these markers serve as vital reference points for accurate spatial alignment during image registration.
Abstract: In this paper, we propose incorporating Optical Wireless Communication (OWC) and Passive Optical Network (PON) technologies into next generation spine-and-leaf Data Centre Networks (DCNs).
Learn how to convert existing articles into short-form video scripts using platform-tested structures, retention strategies, ...
Strategic Relationship Supports CenterPoint’s Greater Houston Resiliency Initiative, Creates Over 200 New Jobs Through Local Manufacturing Expansion Resilient Structures (RS), a leading manufacturer ...
HOUSTON, February 09, 2026--(BUSINESS WIRE)--Resilient Structures (RS), a leading manufacturer of high-performance composite utility poles, today announced a long-term supply agreement with ...
Abstract: Multiple change point detection seeks to identify potential shifts in the data properties. While existing detection methods primarily focus on univariate and multivariate data, they often ...
Abstract: Hyperspectral unmixing (HSU), which aims to identify constituent materials and estimate the corresponding proportions in a scene, is an essential research topic in remote sensing. Most deep ...
Abstract: Point Clouds (PCs) have gained considerable interest as a potential format for representing tridimensional (3D) data in various applications, including augmented reality and autonomous ...
Data centers have caused the demand for gas-fired power in the US to explode over the past two years, according to new research released Wednesday. More than a third of this new demand, the research ...
An understanding of algorithms and data structures will aid the implementation of data science or machine learning methods in practice. Machine learning emphasizes prediction, scalability, and ...
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