nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

This paper elaborates on a new default-based cost of capital estimation for private-held firms. We test the model’s ability to incorporate systematic risk and size premium. Results highlight positive statistically significant effect CAPM expected return premiums this novel measure. Beyond utility in practice private equity valuation, preliminary results are promising application larger cross-co...

The literature review shows software development projects often neither meet time deadlines, nor run within the allocated budgets. One common reason can be the inaccurate cost estimation process, although several approaches have been proposed in this field. Recent research studies suggest that in order to increase the accuracy of this process, estimation models have to be revised. The Construct...

background considerable development of mri technology in diagnostic imaging, high cost of mri technology and controversial issues concerning official charges (tariffs) have been the main motivations to define and implement this study. objectives the present study aimed to calculate the unit-cost of mri services using activity-based costing (abc) as a modern cost accounting system and to fairly ...