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Rutineia Tassi, Enio Júnior Seidel, David da Motta-Marques, Adolfo Villanueva and Latif Kalin
This study explored the role of the hydrological regime as a trigger factor for wildlife roadkill along a 22 km road crossing the Taim Wetland, a Ramsar site of international importance in South Brazil. The north?south crossing of BR-471, a federal highw...
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Seok-Hwan Oh, Tae-Seong Roh and Hyoung Jin Lee
This study was focused on the configuration design of a star grain by using machine learning in the optimal design process. The key to optimizing the grain design is aimed at obtaining a set of configuration variables that satisfy the requirements. The o...
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Maki Kihara and Satoshi Iriyama
A new class of cryptosystems called verifiable encryption (VE) that facilitates the verification of two plaintexts without decryption was proposed in our previous paper. The main contributions of our previous study include the following. (1) Certain cryp...
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Yongkun Deng, Chenghao Zhang, Nan Yang and Huaming Chen
Semi-supervised learning (SSL) is a popular research area in machine learning which utilizes both labeled and unlabeled data. As an important method for the generation of artificial hard labels for unlabeled data, the pseudo-labeling method is introduced...
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Yuan Yuan, Zhengfu Zhou, Yuhua Zhan, Xiubin Ke, Yongliang Yan, Min Lin, Pengcheng Li, Shijie Jiang, Jin Wang and Wei Lu
EPSP synthase is the target enzyme of glyphosate herbicides. Due to the extensive use of glyphosate, it is very important to obtain EPSPS genes with high glyphosate resistance for the development of transgenic crops. GR79-EPSPS is a class I EPSP synthase...
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