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Alptekin Durmusoglu
The chemical industry provides essential goods we use in our daily lives and key ingredients for many diverse industries. On the other hand, their production and use require serious attention while they may be seriously harmful to local air quality. The ...
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Kang Zheng, Xueguan Zhao, Changjie Han, Yakai He, Changyuan Zhai and Chunjiang Zhao
Spraying pesticides using row alignment in the maize seedling stage can effectively improve pesticide utilization and protect the ecological environment. Therefore, this study extracts a guidance line for maize crops using machine vision and develops an ...
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Yugong Dang, Hongen Ma, Jun Wang, Zhigang Zhou and Zhidong Xu
In order to boost the performance of a bivariable granular fertilizer applicator and simplify the control methodology of fertilization rate regulation, this paper proposed a fertilization decision method to obtain the optimal combination of rotational sp...
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Partha Pratim Ray and Dinesh Dash
Anomaly detection in the smart application domain can significantly improve the quality of data processing, especially when the size of a dataset is too small. Internet of Things (IoT) enables the development of numerous applications where sensor-data-aw...
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Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics and...
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Indah Puspitasari, Eva Theresna Ruchjana
Pág. 949 - 953
The purpose of this study was to study the effect of Sales, Operational Costs on net income. The data in this study were obtained from the Karawang Cipta Grafika financial report. The population of this study is 48 that has been outlier to 46 data with 4...
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Indah Puspitasari, Eva Theresna Ruchjana
Pág. 949 - 953
The purpose of this study was to study the effect of Sales, Operational Costs on net income. The data in this study were obtained from the Karawang Cipta Grafika financial report. The population of this study is 48 that has been outlier to 46 data with 4...
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Jongdae Jung, Yeongjun Lee, Jeonghong Park and Tae-Kyeong Yeu
Monitoring offshore infrastructure is a challenging task owing to the harsh ocean environment. To reduce human involvement in this task, this study proposes an autonomous surface vehicle (ASV)-based structural monitoring system for inspecting power cable...
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Zhongya Fan, Huiyun Feng, Jingang Jiang, Changjin Zhao, Ni Jiang, Wencai Wang and Fantang Zeng
Outliers are often present in large datasets of water quality monitoring time series data. A method of combining the sliding window technique with Dixon detection criterion for the automatic detection of outliers in time series data is limited by the emp...
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Salvatore Barba, Maurizio Barbarella, Alessandro Di Benedetto, Margherita Fiani, Lucas Gujski and Marco Limongiello
The unmanned aerial vehicle (UAV) photogrammetric survey of an archaeological site has proved itself to be particularly efficient. In order to obtain highly accurate and reliable results, it is necessary to design carefully the flight plan and the geo-re...
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Cindy Trinh, Silvia Lasala, Olivier Herbinet and Dimitrios Meimaroglou
This article investigates the applicability domain (AD) of machine learning (ML) models trained on high-dimensional data, for the prediction of the ideal gas enthalpy of formation and entropy of molecules via descriptors. The AD is crucial as it describe...
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Sergio Arciniegas-Alarcón, Marisol García-Peña and Wojtek J. Krzanowski
Several statistical techniques for analyzing data matrices use lower rank approximations to these matrices, for which, in general, the appropriate rank must first be estimated depending on the objective of the study. The estimation can be conducted by cr...
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Mengjie Yang, Zhe Chen, Mengjie Zhou, Xiaojin Liang and Ziyue Bai
The coronavirus disease 2019 (COVID-19) pandemic has had tremendous and extensive impacts on the people?s daily activities. In Chicago, the numbers of crime fell considerably. This work aims to investigate the impacts that COVID-19 has had on the spatial...
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William Hurst, Aaron Boddy, Madjid Merabti and Nathan Shone
Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptop...
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Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
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Francisco Javier Duque-Pintor, Manuel Jesús Fernández-Gómez, Alicia Troncoso and Francisco Martínez-Álvarez
The occurrence of outliers in real-world phenomena is quite usual. If these anomalous data are not properly treated, unreliable models can be generated. Many approaches in the literature are focused on a posteriori detection of outliers. However, a new m...
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Olivier Boucher, Nicolas Bellouin, Hannah Clark, Edward Gryspeerdt and Julien Karadayi
Airlines optimize flight trajectories in order to minimize their operational costs, of which fuel consumption is a large contributor. It is known that flight trajectories are not fuel-optimal because of airspace congestion and restrictions, safety regula...
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