In studying circularity in the construction and demolition industry (CDI) EU, five projects selected EU countries were compared to assess how application of achieved balance environment, social economic dimensions sustainability. The using secondary data based on a web search these involved different stages ladder, used diverse design principles, focused life cycle, making them interesting comp...

Tourism forecasting has garnered considerable interest. However, integrating tourism with volatility is significantly less typical. This study investigates the performance of both single models and their combinations for demand. The seasonal autoregressive integrated moving average (SARIMA) model used to construct mean equation, three models, namely generalized conditional heteroscedasticity (G...

in many statistical systems, a type of survey called “sampling over time” is common, which repeats continuously over time. one method of sampling over time is panel survey. panel survey is a method in which a “fixed sample” is contacted during different waves. the most important challenge in a panel survey is debility in providing response from some sample units and having non-response that usu...

The Republic of Trinidad and Tobago is an archipelagic Small Island Developing State (SIDS), situated on the southern end chain Caribbean islands. Several factors such as climate, topography, hydrological characteristics increase its susceptibility vulnerability to flooding which results in adverse socio-economic impacts. Many islands, including lack a flood risk assessment tool essential for p...

The integrated biological data is expected to obtain a higher exactness, better performance and greater robustness compared to single dataset. In this work, we present data integration using kernel-based approach to identify protein class in yeast, ribosomal proteins and membrane proteins. By using intermediate stage of integration, we change the single data source into kernel matrix format. Ke...

In this study, we investigate the problem of aggregating crowd opinions for decision making. The Wisdom of Crowds (WoC) theory explains how crowd opinions should be aggregated in order to improve the performance of decision making. Crowd independence and a weighting mechanism are two important factors to crowd wisdom. However, most existing crowd opinion aggregation methods fail to build a diff...