This study aims to identify the systematic factors influencing venture capital performance in emerging technology. Emerging technologies are the driving force of contemporary economic and social development, but their technologies and markets are subject to great uncertainty. As a high-risk,...

The tourism industry is one of the most rapidly developing industries in the world and tourism in the Southeast Asian region has been developing in the past few years. The present study focuses on the data from the ASEAN region to study the association among the variables; inbound tourists,...

The study aims to investigate the environmental effects of mix energies on the three most polluted countries of ASEAN economies. The study uses the data of the Philippines, Vietnam, and Thailand over the period of 1995-2017 as gathered from the World Bank and Global Economy. The study uses Brush...

One of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted from hot gases simultaneously generating power, heat, and refrigeration from combustion, as well as water and...

Recently, the application of the proton exchange membrane fuel cells (PEMFCs) is extensively increasing as a popular renewable energy source. PEMFCs need low temperature for the operation along with high power density and easy implementation ability. These characteristics turned them into the...

One important part of designing and manufacturing of the fuel cells is their model identification. The present study proposes an optimal method for optimal parameter estimation of the undetermined parameters in Proton Exchange Membrane Fuel Cells (PEMFCs). The method uses a novel modified...

The prime objective of the current study is to explore the nexus among financial development, market freedom, political stability, economic growth and CO2 emissions in ASEAN countries. The present study has attempted to examine the asymmetric association among financial development, CO2...

Parameter identification of the proton exchange membrane fuel cell (PEMFC) is a good way of increasing their efficiency in the next designs. In this study, an optimized improved Elman neural network based on a new hybrid optimization algorithm is proposed for this purpose. The proposed algorithm...