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For example, the sample diagram does not indicate the physical type of connection between the PCs and the switch, but since a modern LAN is depicted, Ethernet may be assumed. If the same style of line was used in a WAN (wide area network) diagram, however, it may indicate a different type of connection.
Network mapping and drawing software support IT systems managers to understand the hardware and software services on a network and how they are interconnected. Network maps and diagrams are a component of network documentation. They are required artifacts to better manage IT systems' uptime, performance, security risks, plan network changes and ...
An internetwork is the connection of multiple different types of computer networks to form a single computer network using higher-layer network protocols and connecting them together using routers. The Internet is the largest example of internetwork. It is a global system of interconnected governmental, academic, corporate, public, and private ...
Many conditions can affect your venous system. Some of the most common ones include: Deep vein thrombosis (DVT). A blood clot forms in a deep vein, usually in your leg. This clot can potentially ...
The central system is the primary command center for the body, and is comprised of the brain and spinal cord. The peripheral nervous system consists of a network of nerves that connects the rest ...
The skeletal system’s main function is to provide support for the body. For example, the spinal column provides support for the head and torso. The legs, on the other hand, support and bear the ...
Network topology is the topological [4] structure of a network and may be depicted physically or logically. It is an application of graph theory [3] wherein communicating devices are modeled as nodes and the connections between the devices are modeled as links or lines between the nodes. Physical topology is the placement of the various ...
There are many types of artificial neural networks ( ANN ). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate functions that are generally unknown. Particularly, they are inspired by the behaviour of neurons and the electrical signals they convey between input (such as from ...
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