|
|
|
|
|
Shu Wu, Momcilo Markus, David Lorenz, James R. Angel and Kevin Grady
Many studies have projected that as the climate changes, the magnitudes of extreme precipitation events in the Northeastern United States are likely to continue increasing, regardless of the emission scenario. To examine this issue, we analyzed observed ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Chen and Chunchun Hu
Accurate prediction of fine particulate matter (PM2.5) concentration is crucial for improving environmental conditions and effectively controlling air pollution. However, some existing studies could ignore the nonlinearity and spatial correlation of time...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Ji, Wenxu Yan and Wenyuan Wang
With the increase in the use of high-frequency power electronic devices, the harmonics injected into the power grid show a trend of high-frequency development. The continuous rise of the supraharmonic emission level in the distribution network has become...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Li, Xiaobao Zeng, Xinpeng Pan, Ling Peng, Yuyang Tan and Jianxin Liu
Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent process...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo
Standard time-series modeling requires the stability of model parameters over time. The instability of model parameters is often caused by structural breaks, leading to the formation of nonlinear models. A state-dependent model (SDM) is a more general an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongyang Yu, Feihu Peng, Zhihao Zeng, Minghua Zhang, Wenwu Yang, Ying Zang, Jianfei He, Yichen Huang, Yuguang Wu, Wenneng Zhong, Ziyou Guo, Jiawen Liu, Guanjiong Li, Xingmou Qin and Zaiman Wang
This investigation considered the effects of both internal and external excitation vibrations on the efficacy of the seed dispenser in a rice precision hole seeder. Through comprehensive field tests, we analyzed vibrational characteristics during direct ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wojciech Rymarkiewicz, Pawel Cybulski and Tymoteusz Horbinski
This study investigated the impact of smartphone usage frequency on the effectiveness and accuracy of symbol location in a variety of spatial contexts on mobile maps using eye-tracking technology while utilizing the example of Mapy.cz. The scanning speed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenhong Yan, Shefeng Yan, Tianyi Yao, Yang Yu, Guang Pan, Lu Liu, Mou Wang and Jisheng Bai
Ship-radiated noise classification is critical in ocean acoustics. Recently, the feature extraction method combined with time?frequency spectrograms and convolutional neural networks (CNNs) has effectively described the differences between various underw...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chinyang Henry Tseng, Woei-Jiunn Tsaur and Yueh-Mao Shen
In detecting large-scale attacks, deep neural networks (DNNs) are an effective approach based on high-quality training data samples. Feature selection and feature extraction are the primary approaches for data quality enhancement for high-accuracy intrus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lin Yang, Yansong Wang, Lei Wei and Yao Chen
The spaceborne solar observation system is crucial for the study of space phenomena such as solar flares, which requires high tracking accuracy. This study presents a coupling model that integrates mechanical, electrical, and control models to investigat...
ver más
|
|
|
|
|
|