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Delta TechOps (Technical Operations) is the maintenance, repair and overhaul (MRO) division of Delta Air Lines, headquartered at Hartsfield-Jackson International Airport in Atlanta, Georgia. [1] With more than 9,600 employees and 51 maintenance stations worldwide, Delta TechOps is a full-service maintenance provider for the more than 900 ...
Extranet. An extranet is a controlled private network that allows access to partners, vendors and suppliers or an authorized set of customers – normally to a subset of the information accessible from an organization's intranet. An extranet is similar to a DMZ in that it provides access to needed services for authorized parties, without ...
W3C Markup Validation Service. Tag certifying that a website has been checked for well-formed XHTML (above) and CSS (below) markup. The Markup Validation Service is a validator by the World Wide Web Consortium (W3C) that allows Internet users to check pre-HTML5 HTML and XHTML documents for well-formed markup against a document type definition.
An expansion of the 400 Bad Request response code, used when a client certificate is required but not provided. 497 HTTP Request Sent to HTTPS Port. An expansion of the 400 Bad Request response code, used when the client has made a HTTP request to a port listening for HTTPS requests. 499 Client Closed Request.
t. e. In software project management, software testing, and software engineering, verification and validation ( V&V) is the process of checking that a software system meets specifications and requirements so that it fulfills its intended purpose. It may also be referred to as software quality control.
For validation of tests, see Test validity. Verification and validation (also abbreviated as V&V) are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose. [1] These are critical components of a quality management system such ...
In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]
Error-correcting codes are used in lower-layer communication such as cellular network, high-speed fiber-optic communication and Wi-Fi, as well as for reliable storage in media such as flash memory, hard disk and RAM. Error-correcting codes are usually distinguished between convolutional codes and block codes: