Scalable Nanomanufacturing—A Review

Scalable Nanomanufacturing—A Review

This article describes the field of scalable nanomanufacturing, its importance and need, its research activities and achievements. The National Science Foundation is taking a leading role in fostering basic research in scalable nanomanufacturing (SNM). From this effort several novel nanomanufacturing approaches have been proposed, studied and demonstrated, including scalable nanopatterning. Thi...

Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes

By increasing the number of images, it is essential to provide fast search methods and intelligent filtering of images. To handle images in large datasets, some relevant tags are assigned to each image to for describing its content. Automatic Image Annotation (AIA) aims to automatically assign a group of keywords to an image based on visual content of the image. AIA frameworks have two main sta...

A comparative review of scalable lookup algorithms for IPv6

Efficient and Scalable Multiple Class Classification: A Review

Data mining a nontrivial extraction of the novel, implicitly and actionable knowledge from large data sets is an evolving technology, which is a direct result of the increasing use of computer databases for the purpose of storing and retrieve effective way of information may also known as knowledge discovery in databases (EDC) and enables data mining, data analysis and visualization of data fro...

Scalable Analysis of Scalable Systems

We present a systematic method of analysing the scalability of large-scale systems. We construct a high-level model using the SRMC process calculus and generate variants of this using model transformation. The models are compiled into systems of ordinary differential equations and numerically integrated to predict non-functional properties such as responsiveness and scalability.