This paper attempts to solve a comprehensive design problem for a spare part logistic system. The design factors encompass logistic network design, part vendor selection, and transportation modes selection. Two approaches to solve the problem were proposed. In Approach 1, we simultaneously considered all the design factors and proposed two algorithms (SGA-1 and TGA-1). In Approach 2, the design...

[Abstract] The assessment of credit risk of real-estate of Chinese banks has become a hot point nowadays. Traditional gross risk-evaluation methods are mainly Discriminant Analysis (DA) and logistic regression, and the most common approach is a credit rating system based on logistic regression. Yet the daily ripening neural network technique has opened up a new idea for experts in fields of ban...

Abstract Robust zero-watermarking is a protection of copyright approach that both effective and distortion-free, it has grown into core research on the subject digital watermarking. This paper proposes revolutionary for color images using convolutional neural networks (CNN) 2D logistic-adjusted Chebyshev map (2D-LACM). In this algorithm, we first extracted deep feature maps from an original ima...

BACKGROUND In recent years, outcome prediction models using artificial neural network and multivariable logistic regression analysis have been developed in many areas of health care research. Both these methods have advantages and disadvantages. In this study we have compared the performance of artificial neural network and multivariable logistic regression models, in prediction of outcomes in ...

An important informing channel for information technology professionals and other knowledge workers is their social networks. Taking the perspective of the transdisciplinary social capital theory, this study explores the relationship between information technology professionals’ social network positions and job performance. We operationalized their network positions as their network constraint,...