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M. Imam Arifandy,Hariyadi Hariyadi,Soeryo Adiwibowo
Pág. 199 - 206
Indonesian Sustainability Palm Oil (ISPO) is requirement for palm oil private business in the effort to preserve the environment, increase economic activities, and social activities of the community. The environmental management conducted by the company ...
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Seyed Mohsen Hosseini, Seyed Masoud Monavvari, Ali Mohammad Khorshiddoost, Hashem Rostamzadeh, G. Ranjbar, Kamran Nasir Ahmadi
Con el fin de lograr el desarrollo sostenible es necesario obtener y aprobar los procedimientos de planificación sobre la base de múltiples criterios de evaluación del medio ambiente natural. Desde lo biofísico (natural) el ambiente ha limitado las capac...
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Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner...
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Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
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Julianno Amorim; João de Abreu e Silva
Pág. 21 - 40
Although issues of equity and accessibility have already been addressed in transportation, especially with regard to the distribution of costs and benefits, there is no consensus on which concept and metric of fairness would be most appropriate for the e...
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Yadi Zhao, Lei Yan, Jian Wu and Ximing Song
To address the low level of intelligence and low utilization of logs in current rotary cutting equipment, this paper proposes a digital twin-based system for optimizing the rotary cutting of logs using a five-dimensional model of digital twins. The syste...
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Daniele Granata, Alberto Savino and Alex Zanotti
The present study aimed to investigate the capability of mid-fidelity aerodynamic solvers in performing a preliminary evaluation of the static and dynamic stability derivatives of aircraft configurations in their design phase. In this work, the mid-fidel...
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Joshua J. R. Critchley-Marrows, Xiaofeng Wu, Yosuke Kawabata and Shinichi Nakasuka
In recent years, the number of expected missions to the Moon has increased significantly. With limited terrestrial-based infrastructure to support this number of missions, as well as restricted visibility over intended mission areas, there is a need for ...
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Jing Luo, Yuhang Zhang, Jiayuan Zhuang and Yumin Su
The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm tha...
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Xiaoou Li
This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative ...
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