an alumina supported co/ni catalyst was prepared by sol-gel procedure to study the catalytic behavior during fischer-tropsch synthesis in a fixed-bed reactor. the effect of co conversion (10-50%) on hydrocarbon product distribution (ch4, c5+ and c2-c4 olefin selectivities) was studied. selectivity for ch4 decreased, while those of c5+ and olefin selectivities increased with increasing co conver...

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

this paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. the output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (llnf) model, is useful for assessing a project status at different time horizons. being trained by a locally linear model tree (lolimot) learning algorithm, the model is int...

This paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. The output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (LLNF) model, is useful for assessing a project status at different time horizons. Being trained by a locally linear model tree (LOLIMOT) learning algorithm, the model is int...

for winning in global competition, companies need to recognition and monitoring of customer's behavior to forecast their behavior and desires earlier than competitors. this research tries to recognize the attributes which lead to customer churn. for this, behavior of 3150 subscribers of an iranian mobile operator, has observed during one year and trends of them has analyzed by a customized...

Inspired by recent construction of high-rate locally correctable codes with sublinear query complexity due to Kopparty, Saraf and Yekhanin (2010) we address the similar question for locally testable codes (LTCs). In this note we show a construction of high-rate LTCs with sublinear query complexity. More formally, we show that for every , ρ > 0 there exists a family of LTCs over the binary field...

We show a generic, simple way to amplify the error-tolerance of locally decodable codes. Specifically, we show how to transform a locally decodable code that can tolerate a constant fraction of errors to a locally decodable code that can recover from a much higher error-rate. We also show how to transform such locally decodable codes to locally list-decodable codes. The transformation involves ...

Linear regression is a very simple regression model, However, the linear relation made by it is not realistic in many data mining application domains. Locally weighted linear regression and Model trees both combine locally learning and linear regression to imoprove linear regression. Our previous work called instance weighted linear regression is designed to improve the accuracy of linear regre...