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Aniessa Rinny Asnaning, . Surya, Andy Eka Saputra, Destieka Ahyuni
Pág. 176 - 182
The excessive quantity of groundwater utilization leads to significantly reduced groundwater availability. In another aspect of a tropical country, Indonesia has a reasonably high rainfall in the rainy season. The problem of this research is that the rai...
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Graciela Maria Ferrari
Pág. 30 - 66
Se presentan las variaciones estacionales y los cambios interanuales (2006-2019) de la comunidad de fitoplancton, relacionados con las variaciones en la calidad del agua y la descarga del río, en la parte inferior del río Uruguay, en América del Sur. En ...
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Cristiane Canan, Fernanda Delaroza, Rúbia Casagrande, Marcela Maria Baracat, Massami Shimokomaki, Elza Iouko Ida (Author)
Pág. 457 - 463
Rice bran is a by-product of rice processing industry, with high levels of phytic acid or phytate. Considering phytic acid antioxidant activity, its various applications and its high concentration in rice bran, this study had the objective of evaluating ...
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Hugo López-Fernández
Pág. 22 - 25
Mass spectrometry using matrix assisted laser desorption ionization coupled to time of flight analyzers (MALDI-TOF MS) has become popular during the last decade due to its high speed, sensitivity and robustness for detecting proteins and peptides. This a...
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Cheolhyeon Kwon and Donghyun Kang
Recently, the technologies of on-device AI have been accelerated with the development of new hardware and software platforms. Therefore, many researchers and engineers focus on how to enable ML technologies on mobile devices with limited hardware resourc...
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Hamad Almaghrabi, Ben Soh and Alice Li
Effective and efficient use of information and communication technology (ICT) systems in the administration of educational organisations is crucial to optimise their performance. Earlier research on the identification and analysis of ICT users? satisfact...
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Sunny Kumar Poguluri and Yoon Hyeok Bae
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not underg...
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Zhiyang Li, Zhigang Nie and Guang Li
One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more ...
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Yang Li, Yinsheng Sheng, Jing Shu, Shuqin Hao, Jinquan Wang, Qinglin Huang, Kailong He, Jiahui Qi and Jin Liu
To improve the salt tolerance of grape seeds and seedlings under salt stress, this study was conducted including two control groups (CK, S) and five experimental groups (S + Si40, S + Si60, S + Si80, S + C90, S + Si40 + C90), and the physiological charac...
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Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo...
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