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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Sangwan Lee, Kuk Cho, Hyunbae Park and Dooyong Cho
This study explored the economic influence of introducing fully autonomous trucks (ATs) on the total cost of operation (TCO) from the viewpoint of freight transport operators. We utilized the cost?benefit analysis and scenario planning frameworks using a...
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Sushma Sharma, Vikram Singh, Hemender Tanwar, Virender Singh Mor, Mukesh Kumar, Ramesh Chander Punia, Mohinder Singh Dalal, Mujahid Khan, Sonali Sangwan, Axay Bhuker, Chander Shekhar Dagar, Shikha Yashveer and Jogender Singh
Global warming has increased the temperature significantly over a large extent both spatially and temporally. The threat of heat stress during the germination and seedling establishment stages in the wheat crop is now more prevalent than ever before. The...
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Garam Kim, Jang Hyun Kim, Jaemin Kim and Sangwan Kim
This work can be applied to analyze and reduce the WFV effect of TFETs.
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Seung-Hyun Lee, Jeong-Uk Park, Garam Kim, Dong-Woo Jee, Jang Hyun Kim and Sangwan Kim
In this paper, analysis and optimization of surrounding channel nanowire (SCNW) tunnel field-effect transistor (TFET) has been discussed with the help of technology computer-aided design (TCAD) simulation. The SCNW TFET features an ultra-thin tunnel laye...
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