We propose the Unconformity-enhanced Hierarchical Context Fusion Network (UHCFNet), which uses seismic unconformity attribute to increase the accuracy of seismic facies classification and reduce the ...

To protect the integrity of neural network model, in this paper, we propose a neural network watermarking scheme with hierarchical recoverability (NNWHR), which not only can identify and locate the ...

Understand and implement core concepts of networking. Design a hierarchical network model. Configure networking devices and simulate inter-departmental communication. Apply subnetting, VLANs, and ...

[1] Abdelrahman Abdelhamed, Lin S., Brown M. S. A High-Quality Denoising Dataset for Smartphone Cameras. CVPR, 2018. [2] T. Plotz, and S. Roth. Benchmarking denoising algorithms with real photographs.

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation from traditional Monte Carlo ...

In this paper, a model is proposed as hierarchical autonomic (HA)-SLA based on cloud computing nature ... Mury, "Automatic generation of platforms in cloud computing," in Network Operations and ...

Objectives The Esther Network (EN) model, a person-centred care innovation in Sweden ... Embedded cultural influences such as the need for order and hierarchical structures were both barriers to, and ...

The silos are both technical and organizational, with the resulting lack of coordination reflected in a typical network model data management picture where information comes from a variety of sources ...

If we see friendship as a puzzle rather than a pyramid, we become more attentive to where each piece fits. This attentiveness ...