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  2. Delay-tolerant networking - Wikipedia

    en.wikipedia.org/wiki/Delay-tolerant_networking

    Delay-tolerant networking. Delay-tolerant networking ( DTN) is an approach to computer network architecture that seeks to address the technical issues in heterogeneous networks that may lack continuous network connectivity. Examples of such networks are those operating in mobile or extreme terrestrial environments, or planned networks in space.

  3. Differentiated services - Wikipedia

    en.wikipedia.org/wiki/Differentiated_services

    Differentiated services or DiffServ is a computer networking architecture that specifies a mechanism for classifying and managing network traffic and providing quality of service (QoS) on modern IP networks. DiffServ can, for example, be used to provide low-latency to critical network traffic such as voice or streaming media while providing ...

  4. List of information technology initialisms - Wikipedia

    en.wikipedia.org/wiki/List_of_information...

    The table below lists information technology initialisms and acronyms in common and current usage. These acronyms are used to discuss LAN, internet, WAN, routing and switching protocols, and their applicable organizations. [ 1][ 2][ 3] The table contains only current, common, non-proprietary initialisms that are specific to information technology.

  5. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory ( LSTM) [ 1] is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem [ 2] present in traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models and other sequence learning methods. It aims to provide a short-term memory for RNN ...

  6. Time delay neural network - Wikipedia

    en.wikipedia.org/wiki/Time_delay_neural_network

    TDNN diagram. Time delay neural network ( TDNN) [ 1] is a multilayer artificial neural network architecture whose purpose is to 1) classify patterns with shift-invariance, and 2) model context at each layer of the network. Shift-invariant classification means that the classifier does not require explicit segmentation prior to classification.

  7. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    A network is typically called a deep neural network if it has at least two hidden layers. [3] Artificial neural networks are used for various tasks, including predictive modeling, adaptive control, and solving problems in artificial intelligence. They can learn from experience, and can derive conclusions from a complex and seemingly unrelated ...

  8. Software-defined networking - Wikipedia

    en.wikipedia.org/wiki/Software-defined_networking

    Software-defined networking ( SDN) is an approach to network management that enables dynamic and programmatically efficient network configuration to improve network performance and monitoring in a manner more akin to cloud computing than to traditional network management. [ 1] SDN is meant to improve the static architecture of traditional ...

  9. Network architecture - Wikipedia

    en.wikipedia.org/wiki/Network_architecture

    Network architecture. 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 organization and configuration, its operational principles and procedures, as well as communication protocols used. In telecommunication, the specification of a network ...