the purpose of this paper is to examine the determinants of the timing of bank failure/merger in 10 asian countries over the period of 1999-2007 using a multivariate logit model and a split population duration analysis. apart from bank-specific information, we also focus on the effects of macroeconomic and financial characteristics. the following empirical findings are obtained. first, the resu...

developing an integrated model, establishing a balance between conservation and revitalization objectives in the historic environment, has always been a controversial issue in many countries; however, they sometimes have a type of symbiotic relationship with each other. in this regard, the main aim of this paper is to answer this question: is it possible to provide an appropriate model for “int...

Venture capital (VC) improves the nation’s innovative capacity by making investments in early stage businesses that offer high potential but high risk. This paper is concerned with the venture investment fund programmes in Thailand. In particular, the study describes and analyses the VC management of the Small and Medium Enterprise Development Bank of Thailand (SME Bank), the bank set up to hel...

Data Envelopment Analysis (DEA) has two fundamental approaches for assessing theefficiency with different characteristics; radial and non-radial models. This paper isconcerned the non-radial model of Russell which is a non linear model. Conventional DEAfor a large dataset with many inputs/outputs would require huge computer resources in termsof memory and CPU time. Artificial Neural Network (AN...

Citation: Danso SO, Job DE, Gonzalez DR, Dickie DA, Palmer J, Ure J, Bath PM, Sandercock PAG and Wardlaw JM (2016) Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Front. ICT 3:32. doi: 10.3389/fict.2016.00032 developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebr...

Analyzing bank databases for customer behavior management is difficult since bank databases are multi-dimensional, comprised of monthly account records and daily transaction records. This study proposes an integrated data mining and behavioral scoring model to manage existing credit card customers in a bank. A self-organizing map neural network was used to identify groups of customers based on ...

A model is proposed, called dynamic channelization model based on non-maximally decimated filter bank, to solve the uncertainty and time-varying nature of subband signals’ number, bandwidth and location distribution. The structure divided the receiving signal into several sub bands evenly based on signal reconstruction theory. We input the adjacent subbands signals which belongs to the same cha...

The Indian Banks collects huge amount of data which the banks are unable to turn into fast transaction and also unable to maintain and utilize it in a proper manner. Other problems are also occurring w. r. t. the reusability of the system in a different environment designed by the developer. Nowadays we are focusing upon interoperability of database and system hardware. In this paper we have pr...