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Monika Kuffer, Maxwell Owusu, Lorraine Oliveira, Richard Sliuzas and Frank van Rijn
Gridded population datasets model the population at a relatively high spatial and temporal granularity by reallocating official population data from irregular administrative units to regular grids (e.g., 1 km grid cells). Such population data are vital f...
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Hatice Erkekoglu,Aweng Peter Majok Garang,Adire Simon Deng
Pág. 206 - 216
While various linear and nonlinear forecasting models exist, multivariate methods like VAR, Exponential smoothing, and Box-Jenkins? ARIMA methodology constitute the widely used methods in time series. This paper employs series of Turkish private co...
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Christo Rautenbach, Michael A. Barnes, David W. Wang and James Dykes
Numerous studies have identified the complexities of the wave climatology around the South African coast, but limited studies have investigated these complex dynamics in the available literature. Several freely available parameterized wave boundary condi...
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Shanxin Zhang, Hao Feng, Shaoyu Han, Zhengkai Shi, Haoran Xu, Yang Liu, Haikuan Feng, Chengquan Zhou and Jibo Yue
Soybean breeders must develop early-maturing, standard, and late-maturing varieties for planting at different latitudes to ensure that soybean plants fully utilize solar radiation. Therefore, timely monitoring of soybean breeding line maturity is crucial...
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Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li and Xiaoling Hu
Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to a...
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Yan Zhou, Jinwei Dong, Xiangming Xiao, Tong Xiao, Zhiqi Yang, Guosong Zhao, Zhenhua Zou and Yuanwei Qin
Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, an...
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Yan Zhou, Jinwei Dong, Xiangming Xiao, Tong Xiao, Zhiqi Yang, Guosong Zhao, Zhenhua Zou, Yuanwei Qin
Pág. 1 - 16
Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, an...
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Huamei Chen, Zhigang Zhu, Hao Tang, Erik Blasch, Khanh D. Pham and Genshe Chen
This paper discusses using ground-based imagery to determine the attitude of a flying projectile assuming prior knowledge of its external geometry. It presents a segmentation-based approach to follow the object and evaluates it quantitatively with simula...
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Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Raihan Rafif, Siti Saringatin and Pramaditya Wicaksono
The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal characteris...
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Darius Phiri, Matamyo Simwanda, Vincent Nyirenda, Yuji Murayama and Manjula Ranagalage
Decision tree (DT) algorithms are important non-parametric tools used for land cover classification. While different DTs have been applied to Landsat land cover classification, their individual classification accuracies and performance have not been comp...
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Joongbin Lim, Kyoung-Min Kim and Ri Jin
Remote sensing (RS) has been used to monitor inaccessible regions. It is considered a useful technique for deriving important environmental information from inaccessible regions, especially North Korea. In this study, we aim to develop a tree species cla...
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Naofumi Fujishiro, Yasuhiro Otaki and Shoji Kawachi
In this study, we developed a similar text retrieval system using Sentence-BERT (SBERT) for our database of closed medical malpractice claims and investigated its retrieval accuracy. We assigned each case in the database a short Japanese summary of the a...
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Qi Yan, Zhiqiang Wan and Chao Yang
Flight load calculation, an important step in aircraft design and optimization, typically involves millions of computations and requires significant computing resources and time. Improving the efficiency of flight load calculations while maintaining accu...
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Natsuki Tsushima, Ryo Higuchi and Koji Yamamoto
By deliberately designing microscopic internal mechanisms, architected materials can achieve a variety of material properties without changing constituent materials. Integration of the architected materials into a structure as substructures has a good po...
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Bethany Melville, Arko Lucieer and Jagannath Aryal
This paper presents the results of a study undertaken to classify lowland native grassland communities in the Tasmanian Midlands region. Data was collected using the 20 band hyperspectral snapshot PhotonFocus sensor mounted on an unmanned aerial vehicle....
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Antonio Tomás Mozas-Calvache
This study focuses on the positional accuracy of Digital Elevation Models (DEMs) and 3D vector features by considering that both datasets can be used as a product to assess or as a reference. The main objective is to provide an alternative method to the ...
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Mohamed Khalfan Mohamed, Elhadi Adam and Colbert M. Jackson
Mangroves in Zanzibar have a high value for biodiversity and scenic beauty. However, mangroves are susceptible to anthropogenic and natural environmental disturbances. Although global mangrove monitoring systems exist, it is the practitioners focused on ...
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Ravi Sekhar, Nitin Solke and Pritesh Shah
Lean and flexible manufacturing is a matter of necessity for the automotive industries today. Rising consumer expectations, higher raw material and processing costs, and dynamic market conditions are driving the auto sector to become smarter and agile. T...
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Xin Yang, Shichen Gao, Qian Sun, Xiaohe Gu, Tianen Chen, Jingping Zhou and Yuchun Pan
Lodging depresses the grain yield and quality of maize crop. Previous machine learning methods are used to classify crop lodging extents through visual interpretation and sensitive features extraction manually, which are cost-intensive, subjective and in...
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Jingxia Chen, Yang Liu, Wen Xue, Kailei Hu and Wentao Lin
EEG-based emotion recognition has become an important part of human?computer interaction. To solve the problem that single-modal features are not complete enough, in this paper, we propose a multimodal emotion recognition method based on the attention re...
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