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Huifang Wang, Bangbang Yang, Xinyu Zhao, Hailong Chen, Fei Liu, Yating Ru, Xirui Wei, Xiaofeng Fu, Weiwei Guo, Ximei Li, Nataliia Golub and Yumei Zhang
Root architectural traits at the seedling stage have been demonstrated to be crucial for the efficient uptake of nutrients and drought tolerance in wheat. To dissect the genetic basis of these traits from the D genome, 182 recombinant inbred lines (RILs)...
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Jin Su Kim, Cheol Ho Song, Jae Myung Kim, Jimin Lee, Yeong-Hyeon Byeon, Jaehyo Jung, Hyun-Sik Choi, Keun-Chang Kwak, Youn Tae Kim, EunSang Bak and Sungbum Pan
Current advancements in biosignal-based user recognition technology are paving the way for a next-generation solution that addresses the limitations of face- and fingerprint-based user recognition methods. However, existing biosignal benchmark databases ...
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Alice Zaghini, Francesca Gagliardi, Valentina Marsili, Filippo Mazzoni, Lorenzo Tirello, Stefano Alvisi and Marco Franchini
Providing water with adequate quality to users is one of the main concerns for water utilities. In most countries, this is ensured through the introduction of disinfectants, such as chlorine, which are subjected to decay over time, with consequent loss o...
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Erik Bollen, Bart Kuijpers, Valeria Soliani and Alejandro Vaisman
Sensor networks are used in an increasing number and variety of application areas, like traffic control or river monitoring. Sensors in these networks measure parameters of interest defined by domain experts and send these measurements to a central locat...
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Yuting Bai, Yijie Niu, Zhiyao Zhao, Xuebo Jin and Xiaoyi Wang
The phenomenon of algal bloom seriously affects the function of the aquatic ecosystems, damages the landscape of urban river and lakes, and threatens the safety of water use. The introduction of a multi-attribute decision-making method avoids the shortco...
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Donghyuk Kum, Jichul Ryu, Yongchul Shin, Jihong Jeon, Jeongho Han, Kyoung Jae Lim and Jonggun Kim
This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or...
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Xudong Chen, Peng Xu, Xinyi Liu and Chen Su
Roller Compacted Concrete (RCC) dams are critical infrastructure, playing an important role in economic and social development. However, dam failure can cause great losses. To mitigate hazards, studies of methods to deal with the uncertainty involved in ...
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Chul Yoon and Byung-Min Kim
The purpose of this study was a pilot study to determine the performance level and physiologic responses (heart rate and heart rate recovery (%)) of six different rest interval conditions during the performance of seven sets of a 65% 1RM bench press exer...
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Alexander Yu. Morozov and Dmitry L. Reviznikov
Problems with interval uncertainties arise in many applied fields. The authors have earlier developed, tested, and proved an adaptive interpolation algorithm for solving this class of problems. The algorithm?s idea consists of constructing a piecewise po...
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Ioannis G. Tsoulos, Alexandros Tzallas and Evangelos Karvounis
Radial basis function networks are widely used in a multitude of applications in various scientific areas in both classification and data fitting problems. These networks deal with the above problems by adjusting their parameters through various optimiza...
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