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Yu Zhang, Jiajun Niu, Zezhong Huang, Chunlei Pan, Yueju Xue and Fengxiao Tan
An algorithm model based on computer vision is one of the critical technologies that are imperative for agriculture and forestry planting. In this paper, a vision algorithm model based on StyleGAN and improved YOLOv5s is proposed to detect sandalwood tre...
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Xuan Li, Mengyuan Yu, Dihong Xu, Shuhong Zhao, Hequn Tan and Xiaolei Liu
Backfat thickness (BF) is closely related to the service life and reproductive performance of sows. The dynamic monitoring of sows? BF is a critical part of the production process in large-scale pig farms. This study proposed the application of a hybrid ...
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Junjie Liu, Zhang Xiao, Yu Tan, Erjie Sun, Bin He and Guoning Ma
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Jianmin Yu, Haibin Lv, Simei Tan and Yuntao Wang
Tropical cyclones (TCs) exert a significant influence on the upper ocean, leading to sea surface temperature (SST) changes on a global scale. However, TC-induced SST responses exhibit considerable variability in the northern Indian Ocean (NIO), and the g...
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Ping Xiao, Ting Wang, Yu Tian, Xinmin Xie, Jinjun You, Xinru Tan and He Chen
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm?landslide?debris flow (R-L-D) disaster chain in the mountainous area of the Greater Bay Area (GBA), China, using the historical disaster data. Twelve nodes are s...
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Chunyao Hou, Yilun Wei, Hongyi Zhang, Xuezhou Zhu, Dawen Tan, Yi Zhou and Yu Hu
In response to the challenge of limited model availability for predicting the lifespan of super-high arch dams, a hybrid model named EMD-PSO-GPR (EPR) is proposed in this study. The EPR model leverages Empirical Mode Decomposition (EMD), Gaussian Process...
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Yingna Mu, Jiting Qu, Yu Shu and Yanbin Tan
Plastic energy dissipation is a key factor in the response of inelastic structures subjected to seismic input, and is often regarded as a primary source of structural damage due to the inelastic deformation of structural components. Accurately predicting...
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Ching-Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, Jiasi Chen and Chee-Wei Tan
The rapid global spread of the coronavirus disease (COVID-19) has severely impacted daily life worldwide. As potential solutions, various digital contact tracing (DCT) strategies have emerged to mitigate the virus?s spread while maintaining economic and ...
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Shuting Xu, Wenqian Tan, Yu Wu and Liguo Sun
As one of the key issues in aviation safety, loss-of-control in the form of adverse aircraft-pilot couplings is attracting attention increasingly. Dynamic-pitch-control envelope shows to be a promising means to evaluate the loss-of-control related to pil...
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Han Li, Jun Li, Yu Xin, Hong Hao, Tan D. Le and Thong M. Pham
This paper proposes using neutral axis locations to monitor and quantify the prestress force in post-tensioned precast segmental beams. Strain measurements are used to obtain the neutral axis locations of specific cross-sections of the precast prestresse...
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Yu Tong, Weiming Tan, Jingzhi Guo, Bingqing Shen, Peng Qin and Shuaihe Zhuo
In the last decade, blockchain smart contracts emerged as an automated, decentralized, traceable, and immutable medium of value exchange. Nevertheless, existing blockchain smart contracts are not compatible with legal contracts. The automatic execution o...
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Jie Tan, Jie Leng, Xudong Zeng, Di Feng and Panliang Yu
Xiegong is a unique element of Chinese historic buildings that could date the heritage dynasty. It is more complicated than the Dougong and represents a high level of artistic and structural achievement. Archaeological research on Xiegong is urgent due t...
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Nai Yeen Gavin Lai, Wai Choong Foo, Chon Siong Tan, Myoung Sook Kang, Hooi Siang Kang, Kok Hoong Wong, Lih Jiun Yu, Xu Sun and Nadia Mei Lin Tan
The Theory of Planned Behavior (TPB) is a useful framework that helps explain people?s behavior across a wide range of settings. The present study adopted the TPB to investigate factors that affect the complexity of the learning intention of workers invo...
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Hao-Yuan Tang, Shih-Hua Tan, Ting-Yu Su, Chang-Jung Chiang and Hsiang-Ho Chen
In this study, a wearable system that can recognize human posture was developed. By using long short-term memory-based recurrent neural network (LSTM-RNN) architecture, this system was able to classify posture with data measured by using an inertial meas...
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Lih Wei Yeow, Raymond Low, Yu Xiang Tan and Lynette Cheah
Point-of-interest (POI) data from map sources are increasingly used in a wide range of applications, including real estate, land use, and transport planning. However, uncertainties in data quality arise from the fact that some of this data are crowdsourc...
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Xianfeng Gao, Yu-an Tan, Hongwei Jiang, Quanxin Zhang and Xiaohui Kuang
These years, Deep Neural Networks (DNNs) have shown unprecedented performance in many areas. However, some recent studies revealed their vulnerability to small perturbations added on source inputs. Furthermore, we call the ways to generate these perturba...
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Zhang Xiao, Yu Tan, Xingxing Liu and Shenghui Yang
The method proposed in this paper can be extended to the classification of vegetable and flower seedlings cultivated in plug trays.
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Vinh-Tan Nguyen, Pankaj Kumar and Jason Yu Chuan Leong
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Yixin Sun, Xiaobao Yu, Zhongfu Tan, Xiaofei Xu and Qingyou Yan
The operating environment of power grid enterprises is complex with a range of monitoring indicators. To grasp the overall operational status in time and find the key affecting factors, Balanced Scorecard Card (BSC), Interpretive Structural Model (ISM), ...
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Yali Xiao, Jing Tan, Yi Yu, Jiajia Dong, Lingling Cao, Lunguang Yao, Yingjun Zhang and Zhiqiang Yan
Flowers of Paulownia spp. wither and fall on a large scale after blooming in spring and have potential allelopathic effects on surrounding plants, including crops and weeds. In this study, the phytotoxic effects of water extracts of Paulownia tomentosa f...
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