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Shurong Peng, Lijuan Guo, Haoyu Huang, Xiaoxu Liu and Jiayi Peng
The integration of large-scale wind power into the power grid threatens the stable operation of the power system. Traditional wind power prediction is based on time series without considering the variability between wind turbines in different locations. ...
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Rohan S. Sharma and Serhat Hosder
The intent of this work was to investigate the feasibility of developing machine learning models for calculating values of airplane configuration design variables when provided time-series, mission-informed performance data. Shallow artificial neural net...
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Yunwei Xiong, Yuhua Li, Chenyang Wang, Hanqing Shi, Sunyuan Wang, Cheng Yong, Yan Gong, Wentian Zhang and Xiuguo Zou
As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing...
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Daniele Arduini, Claudio Calabrese, Jacopo Borghese, Stefania De Domenico, Matteo Putignano, Andrea Toso, Cinzia Gravili and Adriana Giangrande
This paper is part of a series of studies aimed at understanding the potential exploitation of the biomass of the polychaete worm Sabella spallanzanii (Gmelin, 1791), which is obtained as a by-product of an innovative Integrated Multi-Trophic Aquaculture...
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Haleem Farman, Moustafa M. Nasralla, Sohaib Bin Altaf Khattak and Bilal Jan
Fire detection employing vision sensors has drawn significant attention within the computer vision community, primarily due to its practicality and utility. Previous research predominantly relied on basic color features, a methodology that has since been...
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Alexei Pervov and Dmitry Spitsov
Reverse osmosis is efficiently used for producing drinking water from groundwater sources containing dissolved impurities, including fluoride, ammonia, lithium, strontium, boron, arsenic, etc. The principal problems of utilizing reverse osmosis include s...
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Kazuhide Hirose, Kohei Nakamura and Hisamatsu Nakano
We analyze three transmission-line antennas using the moment method. Each line antenna comprises a coplanar feed line, loops, and straight segments connecting the loops and feedline. First, we investigate bent and branched line antennas with loops on one...
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Reinhold Lehneis, David Manske and Daniela Thrän
Wind power has risen continuously over the last 20 years and covered almost 25% of the total German power provision in 2019. To investigate the effects and challenges of increasing wind power on energy systems, spatiotemporally disaggregated data on the ...
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Shijin Yuan, Cheng Wang, Bin Mu, Feifan Zhou and Wansuo Duan
A typhoon is an extreme weather event with strong destructive force, which can bring huge losses of life and economic damage to people. Thus, it is meaningful to reduce the prediction errors of typhoon intensity forecasting. Artificial and deep neural ne...
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Eric Hitimana, Gaurav Bajpai, Richard Musabe, Louis Sibomana and Jayavel Kayalvizhi
Many countries worldwide face challenges in controlling building incidence prevention measures for fire disasters. The most critical issues are the localization, identification, detection of the room occupant. Internet of Things (IoT) along with machine ...
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