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For example, the "add an object to a collection" method (Collection>>add: anObject) returns the object that was added, not the collection. Thus to use this in a cascade in an assignment statement, the cascade must end with yourself, otherwise the value will just be the last element added, not the collection itself:
Multiple encryption is the process of encrypting an already encrypted message one or more times, either using the same or a different algorithm. It is also known as cascade encryption, cascade ciphering, multiple encryption, and superencipherment.
Cascading can be implemented using method chaining by having the method return the current object itself. Cascading is a key technique in fluent interfaces , and since chaining is widely implemented in object-oriented languages while cascading isn't, this form of "cascading-by-chaining by returning this " is often referred to simply as "chaining".
The method cascade syntax was adopted from Smalltalk. [76] This syntax provides a shortcut for invoking several methods one after another on the same object. Dart's mixins were influenced by Strongtalk [citation needed] [77] [78] and Ruby. Dart makes use of isolates as a concurrency and security unit when structuring applications. [79]
Cascade classifiers are available in OpenCV, with pre-trained cascades for frontal faces and upper body. Training a new cascade in OpenCV is also possible with either haar_training or train_cascades methods. This can be used for rapid object detection of more specific targets, including non-human objects with Haar-like features. The process ...
The Department of Health and Human Services (HHS) recently released the Scientific Report of the 2025 Dietary Guidelines Advisory Committee.
Intermittent fasting is an eating pattern that has been linked to various potential health benefits such as weight loss and reduced inflammation. Past studies have also shown potential negative ...
For example, for a 32-stage cascade to achieve a false positive rate of 10 −6, each classifier need only achieve a false positive rate of about 65%. At the same time, however, each classifier needs to be exceptionally capable if it is to achieve adequate detection rates.