Object com.azure.core.util.ExpandableStringEnum<T> com.azure.resourcemanager.cdn.models.Algorithm public final class Algorithm extends ExpandableStringEnum<Algorithm> Algorithm to use for URL signing. Field Summary 展開表格 Modifier and TypeField and Description static final Algorithm SHA256 ...
java.lang.Object com.azure.core.util.ExpandableStringEnum<T> com.azure.security.keyvault.keys.cryptography.models.EncryptionAlgorithm public final classEncryptionAlgorithm extendsExpandableStringEnum<EncryptionAlgorithm> Defines values for EncryptionAlgorithm. ...
java.lang.Object com.microsoft.azure.keyvault.cryptography.Algorithm public class Algorithm Abstract base class for all Algorithm objects. Constructor Summary ConstructorDescription Algorithm(String name) Constructor. Method Summary Modifier and TypeMethod and Description ...
Creates a CryptographicHash object that supports incremental hash operations. CreateKey(IBuffer) Creates a symmetric key that can be used to create the MAC value. OpenAlgorithm(String) Creates a MacAlgorithmProvider object and opens the specified algorithm for use. Applies to ProductVersions WinRT...
Current recognition approaches often use deep features that are learnable and adaptive to the research object, describing ECG data more sufficiently compared with human-crafted features, and deep neural network in the field of intelligent ECG diagnosis has reached a level comparable to human ...
the set will comprise many images of the same object from various angles and under various situations. When compared to classifying with single images, it will be more successful since the algorithm can adapt variable situations such as variations in backdrop, lighting, or appearances. It is als...
Object com.azure.core.util.ExpandableStringEnum<T> com.azure.resourcemanager.databoxedge.models.EncryptionAlgorithm public final class EncryptionAlgorithm extends ExpandableStringEnum<EncryptionAlgorithm> The algorithm used to encrypt "Value". Field Summary 展開資料表 Modifier and TypeField and ...
This article addresses a new method for the classification of white blood cells (WBCs) using image processing techniques and machine learning methods. The proposed method consists of three steps: detecting the nucleus and cytoplasm, extracting features,
Soft (or fuzzy) clustering calculates the degree (e.g., probability) of each object’s belonging to a cluster. Data often cannot be divided into clearly separated clusters, and soft classification is used to obtain more flexible results. Fuzzy clustering means is a widely used soft clustering ...
of an object of interest, and \(\mathcal {X}\) is the set of all representations conceivable, called the instance space. In our concrete application, an instance can be thought of as (the representation of) a validation instance in \(\mathcal{I}\), i.e., a program plus properties ...