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Showing 1 to 7 of 7 for “"Network recovery"”.

  1. High-dimensional Multimodal Bayesian Learning

    … develop three Bayesian methods: (1) Multilevel Network Recovery for Genomics, (2) Network Recovery for Functional data, and (3) Bayesian Inference in Transformer-based Models. Chapter 2 in our work examines a two-tiered data structure; to simultaneously explore the variable selection and …

    vt Repository record for High-dimensional Multimodal Bayesian Learning (opens in a new tab)

  2. Management and routing algorithms for ad-hoc and sensor networks

    Large scale wireless adhoc networks of computers, sensors, PDAs etc. (i.e. nodes) are revolutionizing connectivity and leading to a paradigm shift from centralized systems to highly distributed and dynamic environments. An example of adhoc networks are sensor networks, which are usually composed by …

    bologna Repository record for Management and routing algorithms for ad-hoc and sensor networks (opens in a new tab)

  3. Design and evaluation of network survivability schemes for correlated multi-failure scenarios

    Wireline high-speed networks have become a critical part of modern cyberinfra-structures and provide the base substrates to support a full range of higher-layer user services and applications. Indeed, a wide range of technologies have been deployed in these domains, ranging from ultra-fast Internet …

    unm Repository record for Design and evaluation of network survivability schemes for correlated multi-failure scenarios (opens in a new tab)

  4. Mechanisms for quality-of-service provisioning in networks with extended services

    The emerging network traffic with various Quality-of-Service (QoS) requirements creates a demand for QoS service provisioning beyond the best effort service that Internet currently provides. QoS provisioning requires a framework that satisfies users' QoS and cost demand while maximizes benefits for …

    njit Repository record for Mechanisms for quality-of-service provisioning in networks with extended services (opens in a new tab)

  5. Additive Manufacturing Filled Polymer Composites for Environmental Contaminants: Material Extrusion Processing, Structure and Performance

    … liquid-solid transition (G'>G") and particle network recovery during printer retractions, leading to nozzle clogging. Lower 20% w/w loading was more conducive to larger production printing due to lower viscosity, longer viscosity recovery times for retractions and thus generally a wider …

    vt Repository record for Additive Manufacturing Filled Polymer Composites for Environmental Contaminants: Material Extrusion Processing, Structure and Performance (opens in a new tab)

  6. Disaster recovery planning of transportation networks

    … infrastructures is paved with effective recovery planning. Disaster Recovery Planning of Transportation Networks (DRPTN) is a critical and complex concept that often relies on recommendations of decision models and decision support systems. To develop such decision systems and draft a …

    tu-berlin Repository record for Disaster recovery planning of transportation networks (opens in a new tab)

  7. Rheology of Filled and Unfilled Polyurethanes for Reactive Extrusion-Based Applications

    … called "highly filled" inks. The interparticle network formed from particle-particle interactions in the form of weak surface forces (e.g. Van der Waals forces) provides structural stability of the printed lines, such that they can sustain the weight of subsequent layers. In the realm of DIW 3D …

    vt Repository record for Rheology of Filled and Unfilled Polyurethanes for Reactive Extrusion-Based Applications (opens in a new tab)