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Bao She, Jiating Hu, Linsheng Huang, Mengqi Zhu and Qishuo Yin
To grasp the spatial distribution of soybean planting areas in time is the prerequisite for the work of growth monitoring, crop damage assessment and yield estimation. The research on remote sensing identification of soybean conducted in China mainly foc...
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Leyla Nazari, Vida Ghotbi, Mohammad Nadimi and Jitendra Paliwal
This study proposes a hybrid gene selection method to identify and predict key genes in Arabidopsis associated with various stresses (including salt, heat, cold, high-light, and flagellin), aiming to enhance crop tolerance. An open-source microarray data...
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Kai-Fu Yang, Yi-Ru Lin and Long-Sheng Chen
Crowdfunding can simplify the financing process to raise large amounts of money to complete projects for startups. However, improving the success rate has become one of critical issues. To achieve this goal, fundraisers need to create a short video, attr...
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Chengzhe Lv, Yuefeng Lu, Miao Lu, Xinyi Feng, Huadan Fan, Changqing Xu and Lei Xu
In object-oriented remote sensing image classification experiments, the dimension of the feature space is often high, leading to the ?dimension disaster?. If a reasonable feature selection method is adopted, the classification efficiency and accuracy of ...
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Christopher D. Whitmire, Jonathan M. Vance, Hend K. Rasheed, Ali Missaoui, Khaled M. Rasheed and Frederick W. Maier
Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for yield...
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Aníbal Romney and Vidya Manian
Epilepsy patients who do not have their seizures controlled with medication or surgery live in constant fear. The psychological burden of uncertainty surrounding the occurrence of random seizures is one of the most stressful and debilitating aspects of t...
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Zidong Wu, Xiaoli Wang and Baochen Jiang
The algorithm described in this paper can be applied to the real-time fault diagnosis of wind turbine. By using this algorithm, the fault type of wind turbine can be determined according to the real-time monitoring parameters of SCADA system.
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Su Xie, Ke Li, Mingming Xiao, Le Zhang and Wanlin Li
In this paper, the prediction of over-the-top service quality is discussed, which is a promising way for mobile network engineers to tackle service deterioration as early as possible. Currently, traditional mobile network operation often takes appropriat...
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Chun-Yao Lee and Wen-Cheng Lin
This study proposes a fast correlation-based filter with particle-swarm optimization method. In FCBF?PSO, the weights of the features selected by the fast correlation-based filter are optimized and combined with backpropagation neural network as a classi...
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Elfa Susanti Thamrin
Pág. 67 - 71
Smart packaging is one of innovations in the field of packaging that can monitor and provide information to producers and consumers about the quality of the packaged product. Nowadays, there is no exact model to relate both of the changing between the la...
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