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2081by Lopez-Vazquez, Vanesa, Lopez-Guede, Jose Manuel, Marini, Simone, Fanelli, Emanuela, Johnsen, Espen, Aguzzi, Jacopo“... and deep learning approaches. Such a pipeline is required to achieve good performance in the recognition...”
Published in Sensors (2020)
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2082by Amirkhani, Hossein, AzariJafari, Mohammad, Pourjafari, Zohreh, Faridan-Jahromi, Soroush, Kouhkan, Zeinab, Amirak, Azadeh“... achievements of data-hungry deep learning methods in NLP tasks, a great amount of effort has been devoted...”
Published 2020
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2083“... features and latest by the deep learning with CNN that contains the number of layers and now becomes...”
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2084“...With the development of deep learning, deep metric learning (DML) has achieved great improvements...”
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2085“.... With the tremendous success of deep learning in classifications, it has been applied for DML. When learning embeddings...”
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2086by Jørgen A. Agersborg, Luigi T. Luppino, Stian Normann Anfinsen, Jane Uhd Jepsen“... are collected by Landsat-5 and RADARSAT-2, respectively. Using a recent deep learning method for change-aware...”
Published in Canadian Journal of Remote Sensing (2022)
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2087“...) an online ice-water classification is established based on synthetic aperture radar (SAR) data and deep...”
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2088by Eikeland, Odin Foldvik, Holmstrand, Inga Setsa, Bakkejord, Sigurd, Chiesa, Matteo, Bianchi, Filippo Maria“... this challenge, we adopt a recent technique to interpret the decision process of a deep learning model, called...”
Published in IEEE Access (2021)
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2089by Grøsvik, Bjørn Einar, Buhl-Mortensen, Lene, Bergmann, Melanie, Booth, Andy M., Gomiero, Alessio, Galgani, Francois“... automation and image analyses, including deep learning approaches and data management, but will also serve...”
Published in Arctic Science (2023)
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2090by Ghosh, Subhankar, An, Shuai, Sharma, Arun, Gupta, Jayant, Shekhar, Shashi, Subramanian, Aneesh“... modeling approaches use the same set of weights globally, during either regression or deep learning...”
Published 2023
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2091by Abbasi, R., Ackermann, M., Adams, J., Aguilar, J.A., Ahlers, M., Ahrens, M., Alispach, C., Alves, A.A., Amin, N.M., An, R., Andeen, K., Anderson, T., Ansseau, I., Anton, G., Argüelles, C., Axani, S., Bai, X., Balagopal, A.V., Barbano, A., Barwick, S.W.“..., and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep...”
Published in Journal of Instrumentation (2021)
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2092by Donghun Yang, Kien Mai Ngoc, Iksoo Shin, Kyong-Ha Lee, Myunggwon Hwang“...To design an efficient deep learning model that can be used in the real-world, it is important...”
Published in Electronics (2021)
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2093“... because pre-existing training data rarely exist. Widely-used conventional deep learning models...”
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2094“... and LIDAR target detection. The OAM mode recognition based on deep learning is mostly based on the basic...”
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2095by Nwigboji, Ifeanyi Humphrey“... rare soil moisture events in temporal data using some Machine Learning and Deep Learning (DL) models...”
Published 2023
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2096by Grøsvik, Bjørn Einar, Buhl-Mortensen, Lene, Bergmann, Melanie, Booth, Andy M., Gomiero, Alessio, Galgani, Francois“... automation and image analyses, including deep learning approaches and data management, but will also serve...”
Published in Arctic Science (2023)
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2097by Teng, Zhen-Chao, Zhou, Ya-Dong, Teng, Yun-Chao, Liu, Xiao-Yan, Liu, Jia-Lin, Li, Bo“... phenomenological constitutive theory and a deep learning model based on the data-driven constitutive theory, taking...”
Published in Frontiers in Earth Science (2023)
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2098by Dong, Sheng, Fu, Lei, Tang, Xueyuan, Li, Zefeng, Chen, Xiaofei“... of the ice–bedrock interface. We apply a deep-learning method to reduce the dimension of the reflector...”
Published in The Cryosphere (2024)
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2099by Beise, Jakob, Glaser, Christian“... (including deep learning). This constitutes an in-situ test of the neutrino vertex distance reconstruction...”
Published in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) (2022)
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2100by Liu, Zhengquan, Yang, Zhiquan, He, Na, Wei, Lai, Zhu, Yingyan, Jiao, Wenqi, Wang, Zhengxian, Zhang, Tao, Zhang, Jiantao, Zou, Xiang“... concentrate on avenues like “recognition methods grounded in machine learning and deep learning”, “multisource...”
Published in Frontiers in Ecology and Evolution (2023)
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