Titlebook: Engineering for Sustainable Future; Selected papers of t Annamária R. Várkonyi-Kóczy Conference proceedings 2020 Springer Nature Switzerlan

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https://doi.org/10.1057/9781403981455 were investigated using atomic force microscopy (AFM) and X-ray diffraction (XRD). The optical properties?were studied by UV-VIS spectroscopy and photoluminescence?(PL) at room temperature. The electrical resistivity and Hall mobility were measured using the van der Pauw technique at room temperatu

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immunity

https://doi.org/10.1007/978-3-030-36841-8Smart Materials; Bio and Environment-related Materials; Micro- and Nanotechnology; Photonics; Plasma Phy

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Annamária R. Várkonyi-KóczyPresents the proceedings of the 18th International Conference on Global Research and Education, Inter-Academia 2019, hosted by óbuda University, held in Budapest and Balatonfüred, Hungary on September

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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/e/image/311024.jpg

多產(chǎn)魚

Watemelon

Systematic Review of Deep Learning and Machine Learning Models in Biofuels Researchindustrialized countries, which are major energy consumers but is also essential for oil-rich countries. In addition to the nature of these fuels, which contains polluting substances, the issue of their ending up has aggravated the growing concern. Biofuels can be used in different fields for energy

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Encephalitis

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Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systte change, and earth systems. Among them, deep learning and machine learning methods mainly have reported being essential for achieving higher accuracy, robustness, efficiency, computation cost, and overall model performance. This paper presents the state of the art of machine learning and deep lear