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Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
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Ms. Sabina Raut, Mr. Santosh Shrestha, Mr. Saroj Koirala
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Bhimsen Shrestha, Blair L. Stringam, Murali K. Darapuneni, Kevin A. Lombard, Soumaila Sanogo, Charles Higgins and Koffi Djaman
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Soojeong Lee, Gyanendra Prasad Joshi, Anish Prasad Shrestha, Chang-Hwan Son and Gangseong Lee
Cuffless blood pressure (BP) monitoring is crucial for patients with cardiovascular disease and hypertension. However, conventional BP monitors provide only single-point estimates without confidence intervals. Therefore, the statistical variability in th...
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Manohar Chamana, Rabindra Bhatta, Konrad Schmitt, Rajendra Shrestha and Stephen Bayne
The increased adoption of information and communication technology for smart grid applications will require innovative cyber?physical system (CPS) testbeds to support research and education in the field. Groundbreaking CPS testbeds with realistic and sca...
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Yoonjae Chung, Seungju Lee, Ranjit Shrestha and Wontae Kim
Recently, thermographic testing has been applied as a non-destructive evaluation technology for composite materials due to its remarkable advantages, such as its non-contact, non-destructive, and high-speed properties, it is harmless to the human body an...
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Susen Shrestha, Mattia Zaramella, Mattia Callegari, Felix Greifeneder and Marco Borga
This study aims to evaluate the potential of ERA5 precipitation and temperature reanalysis for snow water equivalent (SWE) simulation by considering the role of catchment spatial scale in controlling the errors obtained by comparison with corresponding S...
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Vivek Thapa Chhetri, Susmita Shrestha, Shweta Parajuli, Pabitra Jha
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Shiva Gopal Shrestha and Soni M. Pradhanang
The general practice of rainfall-runoff model development towards physically based and spatially explicit representations of hydrological processes is data-intensive and computationally expensive. Physically based models such as the Soil Water Assessment...
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Bhawana Regmi, Sundar Tiwari, Arvind Srivastava, Hom Nath Lamsal, Januka Pandit, Shruti Shrestha, Shailesh Pandit, Debraj Adhikari
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