|
|
|
|
|
Margarita Garcia-Vila, Rodrigo Morillo-Velarde and Elias Fereres
Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunkang Du and Zuoliang Xu
In this paper, we recover the European option volatility function σ(t)" role="presentation">??(??)s(t)
s
(
t
)
of the underlying asset and the fractional order α" role="presentation" style="position: relative;">??a
a
of the time fra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunhui Zhang, Wanyi Zhang, Chengjun Zhang, Liwei Zheng, Shiyi Yan, Yuanhao Ma and Wei Dang
Variations in solar insolation caused by changes in the Earth?s orbit?specifically its eccentricity, obliquity, and precession?can leave discernible marks on the geologic record. Astrochronology leverages these markers to establish a direct connection be...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Xu, Wenjie Tian and Xiangpeng Zhang
The three-degrees-of-freedom (3-DOF) parallel robot is commonly employed as a shipborne stabilized platform for real-time compensation of ship disturbances. Pose accuracy is one of its most critical performance indicators. Currently, neural networks have...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yibei Guo, Yijiang Pang, Joseph Lyons, Michael Lewis, Katia Sycara and Rui Liu
Due to the complexity of real-world deployments, a robot swarm is required to dynamically respond to tasks such as tracking multiple vehicles and continuously searching for victims. Frequent task assignments eliminate the need for system calibration time...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Guerrieri, Giuseppe Parla, Masoud Khanmohamadi and Larysa Neduzha
Asphalt pavements are subject to regular inspection and maintenance activities over time. Many techniques have been suggested to evaluate pavement surface conditions, but most of these are either labour-intensive tasks or require costly instruments. This...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Li, Zhirui Cui and Tianyu Fan
In order to further improve the accuracy of flood routing, this article uses the Variable Exponential Nonlinear Muskingum Model (VEP-NMM), combined with the Artificial Rabbit Optimization (ARO) algorithm for parameter calibration, to construct the ARO-VE...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seokjoon Kwon, Jae-Hyeon Park, Hee-Deok Jang, Hyunwoo Nam and Dong Eui Chang
Deep learning algorithms are widely used for pattern recognition in electronic noses, which are sensor arrays for gas mixtures. One of the challenges of using electronic noses is sensor drift, which can degrade the accuracy of the system over time, even ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yusong Wang, Chengxiang Zhu, Ke Xiong and Chunling Zhu
Ice accumulation on airfoils and engines seriously endangers fight safety. The design of anti-icing/de-icing systems calls for an accurate measurement of the adhesion strength between ice and substrates. In this research, a test bench for adhesion streng...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
ver más
|
|
|
|
|
|