Scholarly Publications - Computer Technology and Programming

Permanent URI for this collectionhttps://hdl.handle.net/11693/115697

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    Modified GDP through health cost analysis of air pollution: the case of Turkey
    (1999) Zaim, K. K.
    Economic growth and performance is monitored through the gross domestic product (GDP) of a nation. It has long been recognized that the traditionally computed GDP does not account for gains and losses observed due to the consumption of natural resources and environmental services. Hence, the objective of this study is to modify the Turkish GDP by taking social cost associated with air pollution into consideration. To this end health benefits and economic costs of air-quality improvement are estimated. The computations are based on the dose-response coefficients reported in several studies. The results indicate that a decrease in PM10 and SO2 levels to the WHO guideline would have resulted in a total of 48.309 x 1010 and 153.38 x 1010 Turkish lira savings in 1990 and 1993, respectively. These correspond to 0.12% and 0.08% of 1990 and 1993 GDPs, respectively.
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    AI-generated future: what awaits tourism and hospitality with AI-based deep learning technologies?
    (2024-05-04) Collins, Ayşe; Ali, Seyid Amjad; Yılmaz, Semih; Berezina, K; Nixon, L; Tuomi, A
    AI-based technologies are taking the world by storm - rapidly changing the course of many industries from arts to education, healthcare to entertainment, and even areas of life we are yet to discover [1-4]. The application of AI-based technologies is also emerging in travel and tourism industries [5, 6], but remains underexplored as a research area [7-9] when specific and feasible AI applications are considered. This study describes and appraises several emerging AI-based deep learning technologies that are un(der)utilized in tourism fields but promise high utility in the future. Furthermore, potential application areas of these technologies within the context of tourism are detailed. Possible research routes and methodologies to investigate the functionality of AI-based applications are also outlined.