Conversational case-based reasoning (CBR) shells (e.g., In-ference's CBR Express) are commercially successful tools for supporting the development of help desk and related applications. In contrast to rule-based expert systems, they capture knowledge as cases rather than more problematic rules, and they can be incrementally extended. However , rather than eliminate the knowledge engineering bot...

UNLABELLED BACKGROUND Historically, acid pretreatment technology for the production of bio-ethanol from corn stover has required severe conditions to overcome biomass recalcitrance. However, the high usage of acid and steam at severe pretreatment conditions hinders the economic feasibility of the ethanol production from biomass. In addition, the amount of acetate and furfural produced during...

In metallurgy the quality of the liquid metal has the biggest influence on the quality of the final products. The amount of metallic and non-metallic impurities has great impact on the consecutive stages of technological processes such as: casting, plastic working, heat treatment, etc. That is why the refining process is considered to be one of the most important parts of the basic technologica...

There are several methods introduced to refining the accuracy of Photonic structures. No one has as yet studied the effect of Neural Networks in refining the accuracy of the photonic structure of the Photonic Crystal Fibers. In this paper we use The simulation that will be conducted using artificial neural networks to refining the accuracy of the photonic crystal fibers &.Artificial neural netw...

The study of protein subcellular localization is important to elucidate protein function. Even in well-studied organisms such as yeast, experimental methods have not been able to provide a full coverage of localization. The development of bioinformatic predictors of localization can bridge this gap. We have created a Bayesian network predictor called PSLT2 that considers diverse protein charact...

Abstract interpretation techniques prove properties of programs by computing abstract fixpoints. All such analyses suffer from the possibility of false errors. We present three techniques to automatically refine such abstract interpretations to reduce false errors: (1) a new operator called interpolated widen, which automatically recovers precision lost due to widen, (2) a new way to handle dis...