Network architecture is the design of a computer network. It is a framework for the specification of a network's physical components and their functional...

Systems Network Architecture (SNA) is IBM's proprietary networking architecture, created in 1974. It is a complete protocol stack for interconnecting...

(FCC) Computer Inquiry III, Open network architecture (ONA) is the overall design of a communication carrier's basic network facilities and services to permit...

Open Architecture Network was the world's first online open source community dedicated to improving global living conditions through innovative and sustainable...

Peer-to-peer (P2P) computing or networking is a distributed application architecture that partitions tasks or workloads between peers. Peers are equally...

(Optical switching architecture) Hybrid c-Through Helios The legacy three-tier DCN architecture follows a multi-rooted tree based network topology composed...

Network Computing Architecture may refer to: Network Computing Architecture, protocol created by Apollo Computer in their Network Computing System Network...

information systems and services in the face of a network viewed as compromised. A zero trust architecture (ZTA) is an enterprise's cyber security plan that...

Virtual private network (VPN) is a network architecture for virtually extending a private network (i.e. any computer network which is not the public Internet)...

layering semantics of the OSI (Open Systems Interconnection) network architecture, the network layer responds to service requests from the transport layer...

Network Architecture, a proprietary network architecture by IBM Thin client Configurable Network Computing, a proprietary client-server architecture by...

network slicing is a network architecture that enables the multiplexing of virtualized and independent logical networks on the same physical network infrastructure...

Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine...

learning architectures such as the transformer. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented...

systems, with software architecture, hardware architecture and network architecture covering more specific aspects. Business architecture, defined as "a blueprint...

field-proven for creating scalable network architecture - TropOS Technology | Unified Network Management (Wireless Mesh Network Communication Solutions | ABB...

operate concurrently across a dynamically sharded, multichain network. TON's architecture is optimized for high transaction throughput and low latency...

the network. The structure and properties of a socket are defined by an application programming interface (API) for the networking architecture. Sockets...

evolved into one of the first peer-to-peer network architectures, thus transforming DEC into a networking powerhouse in the 1980s. Initially built with...

to improve the static architecture of traditional networks and may be employed to centralize network intelligence in one network component by disassociating...

A residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions...

An overlay network is a logical computer network that is layered on top of a physical network. The concept of overlay networking is distinct from the...

model for the study of neural networks through statistical mechanics. Modern RNN networks are mainly based on two architectures: LSTM and BRNN. At the resurgence...

Architecture for Control Networks (ACN) is a suite of network protocols for control of entertainment technology equipment, particularly as used in live...

Neural networks using multiplicative units were later called sigma-pi networks or higher-order networks. LSTM became the standard architecture for long...

standards, such as IBM's Systems Network Architecture and Digital Equipment Corporation's DECnet. Public data networks were only just beginning to emerge...

convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose architecture was modified...

A telecommunications network is a group of nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The...

Data-Driven Networking, Springer LNCS vol LNCS, volume 10340, September 2017. An Architecture for Data Model-Driven Network Management: The Network Virtualization...

Feedforward refers to recognition-inference architecture of neural networks. Artificial neural network architectures are based on inputs multiplied by weights...