This paper proposes a new algorithm based on the combination of deterministic and stochastic methods to be used to obtain the best results of a reconstruction process of the surface conductivity distribution. The images of the electrical surface conductivity distribution can be reconstructed from voltage measurement captured on the boundaries of an object. The image reconstruction problem is an...

Combination drugs that impact multiple targets simultaneously are promising candidates for combating complex diseases due to their improved efficacy and reduced side effects. However, exhaustive screening of all possible drug combinations is extremely time-consuming and impractical. Here, we present a novel Hadoop-based approach to predict drug combinations by taking advantage of the MapReduce ...

The study of human language comprehension machine has become a important research topic around the world. Face recognition has great potential application value in economic, security, social security, crime, military and other fields, especially in the occasions where need verification or identification of user identity. This paper presents improved Eigen face method and method for identificati...

INTRODUCTION: Phased array coils are increasingly used in MRI for improving the signal-to-noise ratio (SNR) or accelerating MRI acquisitions. Most image reconstruction approaches require a separate step to combine the data from the individual channels into a single composite image. Sum-ofsquares technique is widely used, but it is unsuitable when the phase information needs to be preserved. Opt...

Clustering is one of the important part in web usage miningfor the purpose of segmenting visitors. This action is very important for web personalization orweb modification. In this paper, we perform clustering of the web visitors using a combination of methods of hierarchical and non-hierarchical clustering toward web log data. Hierarchical clustering method used to determine the number of clus...

In the last few years, Content Based Image Retrieval (CBIR) system, where images are searched based on their visual contents instead of annotated texts, has drawn enormous attention of researchers because of its growing demand from real world applications. According to many, biometric traits recognition is one of the most potential applications of CBIR. However, very few works have been publish...

* Corresponding Author Abstract-Knowledge-based Fuzzing technologies have been applied successfully in software vulnerability mining, however, its current methods mainly focus on Fuzzing target software using a single data sample with one or multi-dimension input mutation [1], and thus the vulnerability mining results are not stable, false negatives of vulnerability are high and the selection o...

Nowadays trust and reputation models are becoming more and more important to make the decision through various industries. Trust-based system is vulnerable to sparse relations, so there are attempts to combine the trust and reputation models. In this paper, we propose a method in which the trust and reputation models are harmonized through an ensemble combination. It can be applied to not only ...

This paper describes boosting – a method, which can improve results of classification algorithms. The use of this method aims at classification algorithms generating decision trees. A modification of the AdaBoost algorithm was implemented. Results of performance tests focused on the use of the boosting method on binary decision trees are presented. The minimum number of decision trees, which en...