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Haili Zhao, Shuzhen Wang, Wen Shen, Wenbo Jing, Lijie Li, Xuan Feng and Weiyin Zhang
High-precision laser spot center detection occupies an important position in optical measurement technology. In this paper, we propose a laser spot centering method to improve positioning accuracy. This method is an iterative double-area shrinkage approa...
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Wansen Guo, Jinshen Wang, Chao Shi, Jianhong Chen, Wenhui Zeng, Guoxiao He and Kunying Ding
On the aero-engine combustor liner, a phenomenon of overheating resembling a hot spot exists, accompanied by a preferential peeling of the YSZ thermal barrier coating that will negatively affect the service life of the component. The hot spot temperature...
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Charles Osondu Manasseh,Jonathan Emenike Ogbuabor,Obiorah K Obinna
Pág. 1599 - 1607
This study examines volatility and commodity price dynamics in Nigeria. This was estimated with the GARCH and Exponential Generalized Autoregressive Conditional Heteroschedasticity (EGARCH), while Granger Causality test was used to examine the causality ...
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Krzysztof Drachal and Michal Pawlowski
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa...
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Beibei Zhang, Yizhi Liu, Yan Liu and Sainan Lyu
In the current era, as modern cities increasingly face environmental disasters and inherent challenges, the creation and enhancement of resilient cities have become critical. China?s urban resilience exhibits significant imbalances and inadequacies at th...
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Livinia Saputra, Sang Hyun Kim, Kyung-Jin Lee, Seo Jin Ki, Ho Young Jo, Seunghak Lee and Jaeshik Chung
The vadose zone acts as a natural buffer against groundwater contamination, and thus, its attenuation capacity (AC) directly affects groundwater vulnerability to pollutants. A regression model from the previous study predicting the overall AC of soils ag...
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Zhiqing Guo, Xiaohui Chen, Ming Li, Yucheng Chi and Dongyuan Shi
Peanut leaf spot is a worldwide disease whose prevalence poses a major threat to peanut yield and quality, and accurate prediction models are urgently needed for timely disease management. In this study, we proposed a novel peanut leaf spot prediction me...
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Teresa Romero-Cortes, Victor H. Pérez España, José A. Pescador-Rojas, Eduardo Rangel-Cortés, María M. Armendaríz-Ontiveros and Jaime A. Cuervo-Parra
Agave genera include slow-growing plants with cultural and economic roots dating back to pre-Columbian times in Mexico. Several species have a widespread presence in the country and are cultivated and/or used directly from the field to obtain various der...
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Yujia Zhang, Luteng Zhong, Yu Ding, Hongfeng Yu and Zhaoyu Zhai
Rice is a staple food for over half of the global population, but it faces significant yield losses: up to 52% due to leaf blast disease and brown spot diseases, respectively. This study aimed at proposing a hybrid architecture, namely ResViT-Rice, by ta...
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Lin Cai, Hongbao Zhang, Yongjie Deng, Weiqiang Tian, Guangjin Fan and Xianchao Sun
Tobacco brown spot caused by Alternaria alternata is a devastating fungal disease endangering plant production. To effectively control brown spot disease, an antagonistic Actinomyces strain, Streptomyces hygroscopicus JY-22, was isolated from rhizospheri...
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Angus Malmo, John C. Broster and Michael J. Walsh
Summer annual weed species in northern Australian summer fallows are frequently present at low densities and, increasingly, are glyphosate-resistant, creating the need for alternative herbicides for site-specific weed control. Alternative non-selective h...
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Denis E. Baskan, Daniel Meyer, Sebastian Mieck, Leonhard Faubel, Benjamin Klöpper, Nika Strem, Johannes A. Wagner and Jan J. Koltermann
In recent years, energy prices have become increasingly volatile, making it more challenging to predict them accurately. This uncertain market trend behavior makes it harder for market participants, e.g., power plant dispatchers, to make reliable decisio...
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Qiong Chen, Hongyu Zhang, Yui-yip Lau, Kaiyuan Liu, Adolf K. Y. Ng, Weijie Chen, Qingmei Liao and Maxim A. Dulebenets
Maritime transportation is vital for the movement of cargo between different continents and distant locations but can be disrupted by the frequent occurrence of pirate attacks. Based on the pirate attacks from July 1994 to December 2019, a spatial analys...
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Yunfei Zhang, Fangqi Zhu, Qiuping Li, Zehang Qiu and Yajun Xie
Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention. Presently, with the emergence of GIS and data mining technologies, numerous geospat...
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Xiaomin Jiang, Ziwan Zheng, Ye Zheng and Zhewei Mao
Theft is an inevitable problem in the context of urbanization and poses a challenge to people?s lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding se...
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Antonio Andrei Cristian and Viorel Ungureanu
This paper presents a numerical parametric study on cold-formed steel built-up beams subjected to bending. The cold-formed steel built-up elements are efficient structural elements that are easy to assemble during the construction process, ensuring mater...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Fangbin Wang, Zini Wang, Zhong Chen, Darong Zhu, Xue Gong and Wanlin Cong
To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as difficulty extracting the edge features, low accuracy, and a high missed detection rate, an improved Mask R-CNN photovoltaic hot spot thermal image segmentation al...
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Nan He, Tingbiao Guo, Yi Jin and Sailing He
Face identification, motion sensing and free-space optical communication.
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Jakub Halu?ka, Anton Koval and George Nikolakopoulos
In this article, we address the task of developing a unified solution that incorporates quadruped and aerial robots for planetary exploration missions. The designing process takes recommendations provided by Boston Dynamics for building custom payloads f...
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