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Artificial intelligence

Edge-based Recognition

**Description:** Edge-based recognition is a technique for object recognition that focuses on identifying and analyzing the characteristics of the edges of shapes present in an image. This…

Artificial intelligence

Edge-based Segmentation

Edge-based segmentation is an image segmentation technique that focuses on identifying and using the edges of objects within an image to define regions. This methodology is based on the premise that…

Artificial intelligence

Edge-based Shape Recognition

Edge-based shape recognition is an approach within computer vision that focuses on identifying and classifying objects based on their contours or edges. This method is based on the premise that the…

Artificial intelligence

Edge-based Tracking

**Description:** Edge-based tracking is a technique used in object tracking that focuses on the information of the edges of objects in an image or video sequence. This methodology is based on the…

Data and analytics

Edge-Connected Graph

A connected graph by edges is a fundamental structure in graph theory, defined as a set of vertices (or nodes) connected by edges (or links) in such a way that there is a path between every pair of…

Data and analytics

Edge-Disjoint Paths

Edge-disjoint paths in a graph are sequences of vertices connected by edges that do not share any edge between them. In more formal terms, two paths are said to be edge-disjoint if there is no edge…

Data and analytics

Edge-Independent Set

An independent edge set in a graph is a group of edges where none of them share a common vertex. This means that when selecting a set of edges, it is ensured that there are no intersections among…

Data and analytics

Edge-Labelled Graph

An edge-labeled graph is a mathematical structure consisting of a set of nodes (or vertices) connected by edges, where each edge has an associated label or identifier. This label can be a number, a…

Data and analytics

Edge-Set

The edge set in a graph is the collection of all connections that exist between the nodes or vertices of that graph. In more technical terms, if a graph G is defined as G = (V, E), where V represents…

Data and analytics

Edge-Weighted Graph

An edge-weighted graph is a mathematical structure consisting of a set of nodes (or vertices) connected by edges, where each edge has an associated numerical value, known as weight. This weight can…

Data and analytics

Edge-Weighted Network

An edge-weighted network is a type of graph in which each edge (or connection) between nodes (or vertices) has an associated weight. This weight can represent different concepts, such as costs…

Data and analytics

Edge-Weighted Shortest Path

The edge-weighted shortest path is a fundamental concept in graph theory that refers to the search for the shortest route between two nodes in a graph, where the edges (or connections between nodes)…

Data and analytics

Edge-Weighted Tree

A weighted edge tree is a data structure in graph theory characterized by being a tree where each edge has an associated weight. This weight can represent various metrics, such as distance, cost, or…

Software development

Edge.js

Edge.js is an innovative development framework that enables interoperability between Node.js and .NET, allowing code from both environments to be executed within the same application. This…

Artificial intelligence

Edge AI

Edge AI refers to the implementation of artificial intelligence algorithms on devices that operate at the edge of the network, meaning close to the data source. This technology enables real-time…

Artificial intelligence

Edge AI Framework

The 'Edge AI Framework' refers to a set of tools and libraries designed to facilitate the development and implementation of artificial intelligence (AI) applications on edge devices, which are those…

Artificial intelligence

Edge AI Model

The edge AI model refers to a machine learning approach specifically designed to run on edge devices, such as smartphones, security cameras, IoT sensors, and other resource-constrained devices. These…

Cloud and infrastructure

Edge Analytics

Edge analytics refers to the process of analyzing data at the edge of the network, that is, on devices and systems that are closest to the data source, rather than sending it to a centralized server…

Artificial intelligence

Edge Antialiasing

Edge antialiasing is a technique used in computer graphics to smooth the appearance of edges in rendered images. This technique aims to reduce the jagged effect that occurs when diagonal lines or…

Software development

Edge API

An Edge API is an application programming interface that allows interaction with edge services, facilitating communication between devices and applications operating at the edge of the network. These…

Cloud and infrastructure

Edge Application

An edge application is software specifically designed to run on edge devices, leveraging the capabilities of edge computing. This type of application is developed to process data close to the source…

Cloud and infrastructure

Edge Application Development

Edge application development refers to the process of creating software specifically designed to run on edge devices, which are those located close to the data source or end user. These applications…

Cloud and infrastructure

Edge Architecture

Edge architecture refers to the design and structure of computing systems that operate at the edge of the network, meaning close to the data source. This architecture allows for local processing and…

DevOps and operations

Edge Automation

Edge automation refers to the use of technology to automatically perform tasks and processes at the edge of the network, that is, close to where data is generated. This approach allows for local data…

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