Non-parametric characterization of blast loads

Cancer area characterization by non-parametric clustering

The application of machine learning techniques to open problems in different medical research fields appears to be stimulating and fruitful, especially in the last decade. In this paper, a new method for MRI data segmentation is proposed, which aims at improving the support of medical researchers in the context of cancer therapy. In particular, our effort is focused on the processing of raw out...

Preliminary assessment of sandwich plates subject to blast loads

The question motivating the present study is whether metal sandwich plates with su3ciently strong cores are able to sustain substantially larger blast loads than monolithic solid plates of the same material and total mass. Circular plates clamped at their edges are considered under blast loads large enough to produce substantial de5ections. The material is elastic–perfectly plastic. Material st...

Performance of Polymer-encased Concrete Walls Subjected to Blast Loads

Stochastic Non-Parametric Frontier Analysis

In this paper we develop an approach that synthesizes the best features of the two main methods in the estimation of production efficiency. Specically, our approach first allows for statistical noise, similar to Stochastic frontier analysis, and second, it allows modeling multiple-inputs-multiple-outputs technologies without imposing parametric assumptions on production relationship, similar to...

Significance of Soil Compaction on Blast Resistant Behavior of Underground Structures: A Parametric Study

Dynamic response of underground structures has always been a topic of concern for designers and researchers. The behavior of these complicated systems under blast loading is affected by various factors and parametric studies are required to investigate their significance. The importance of soil density around the underground structure through which, the waves of explosion of a penetrator bomb i...