Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantom is investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phant...

Static program analysis complements traditional dynamic testing by discovering generic patterns and relations in source code, which indicate software deficiencies such as memory corruption, unexpected program behavior and memory leaks. Since static program analysis builds on approximations of a program’s concrete behavior there is often a trade-o↵ between reporting potential bugs that might be ...

Grey-markov forecasting model of traffic volume was founded by applying the model of GM (1,1) and Markov random process theory. The model utilizes the advantages of Grey-markov GM (1,1) forecasting model and Markov random process in order to discover the developing and varying tendency of the forecasting data sequences of traffic volume. The analysis of an example indicates that the grey-markov...

In machine learning, multiclass or multi-label classification is the special case within statistical classification of assigning one of several class labels to an input object. The multiclass problem is more complex than binary classification and less researched problem. In biology promoter is the DNA region where the transcription initiation takes place. Reliable recognition of promoter region...

Qualitative input is encountered in many real decision-making domains. Often such domains include tradeoffs among multiple attributes, and estimates of parameters are often expressed with some degree of uncertainty. Grey related analysis has been proposed as a means to use interval fuzzy representation of data. When dealing with multiple criteria data, model parameters that can involve uncertai...

Among the renewable sources of energy, solar energy offers a practical solution for the energy problem which is clouding the prospects of mankind. The present paper deals with the experimental investigation of parameters of a solar parabolic trough in winter conditions and to obtain optimum process parameters by Grey Relational Analysis. The experiments were planned using Taguchi’s L9 orthogona...

In this paper, we present an original unsupervised segmentation scheme which splits a grey level image into different sets of connected pixels whose grey levels are homogeneous. This approach is based on an analysis of a triangular table denoted ”Normalized connectivity degrees pyramid”. This method is used in order to detect cytomegalovirus retinitis lesions by fundus image analysis. First, we...

This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes f...

Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance characteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of g...

Online learning for students is one of the fastest growing trends in educational uses of technology. Literatures show that online learning could help students to reinforce their abilities and knowledge. The purpose of this study is to investigate students’ behavior in the learning system. The study developed online materials for one semester course of application of multimedia for the freshmen ...