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Daniel I. Chiciudean, Vanessa P. Shonkwiler, Iulia C. Mure?an, Alina Zaharia and Gabriela O. Chiciudean
The hospitality industry has taken advantage of consumers? increasing concerns regarding environmental issues. Worldwide, green restaurants have increased their profitability by using environmental attributes as a competitive advantage. In Romania, resta...
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Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a...
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Sul-Min Yun, Ji-Hye Jeong, Hang-Tak Jeon, Jae-Yeol Cheong and Se-Yeong Hamm
Groundwater droughts are one of the natural disasters that raise serious water issues for humans, and are increasing in frequency due to global climate change. In order to identify groundwater droughts, we recorded groundwater level fluctuations upstream...
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Konstantinos Gratsos , Stefanos Ougiaroglou and Dionisis Margaris
Partition-based clustering is widely applied over diverse domains. Researchers and practitioners from various scientific disciplines engage with partition-based algorithms relying on specialized software or programming libraries. Addressing the need to b...
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Runpeng Xu, Zhenjie Chen, Feixue Li and Chen Zhou
With rapid urbanization, urban functional zones have become important for rational government and resource allocation. Points of interest (POIs), as informative and open-access data, have been widely used in studies of urban functions. However, most exis...
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Tulio Silveira-Santos, Anestis Papanikolaou, Thais Rangel and Jose Manuel Vassallo
App-based ride-hailing mobility services are becoming increasingly popular in cities worldwide. However, key drivers explaining the balance between supply and demand to set final prices remain to a considerable extent unknown. This research intends to un...
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Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of cars ...
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Wendan Yang, Guozhong Cao, Qingjin Peng, Junlei Zhang and Chuan He
Identifying technological opportunities early on is critical for the development of radical inventions (RIs). Patents are recognized as one of the most reliable resources for identifying technological opportunities. In line with this, this study aimed to...
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Sakib Shahriar and A. R. Al-Ali
COVID-19 pandemic has infected millions and led to a catastrophic loss of lives globally. It has also significantly disrupted the movement of people, businesses, and industries. Additionally, electric vehicle (EV) users have faced challenges in charging ...
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Gianpaolo Zammarchi, Claudio Conversano and Claudia Pisanu
Psychiatric disorders are among the top leading causes of the global health-related burden. Comorbidity with cardiometabolic and sleep disorders contribute substantially to this burden. While both genetic and environmental factors have been suggested to ...
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