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1
Multi-task learning with self-learning weight for image denoising
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Multi-task learning with self-learning weight for image denoising

Xiang, Qian ; Tang, Yong ; Zhou, Xiangyang

Journal of engineering and applied science (Online), 2024-12, Vol.71 (1), p.93-15, Article 93 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach
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Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach

Tan, Fangqing ; Deng, Quanxuan ; Liu, Qiang

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.18-25, Article 18 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Identification of the complete particle size distribution of landslide debris by the combined method of scaled image analysis, line-grid analysis and laboratory sieve analysis
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Identification of the complete particle size distribution of landslide debris by the combined method of scaled image analysis, line-grid analysis and laboratory sieve analysis

Karunarathna, Sandaruwan ; Goto, Satoshi ; Bandaranayake, Sajith ; Bandara, Priyantha

Geoenvironmental disasters, 2024-12, Vol.11 (1), p.8-20, Article 8 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Anatomy-based correction of kidney PVE on [Formula: see text] SPECT images
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Anatomy-based correction of kidney PVE on [Formula: see text] SPECT images

Salvadori, Julien ; Allegrini, Oreste ; Opsommer, Thomas ; Carullo, Josefina ; Sarrut, David ; Porot, Clemence ; Ritzenthaler, Florian ; Meyer, Philippe ; Namer, Izzie-Jacques

EJNMMI physics, 2024-12, Vol.11 (1), p.15-15 [Periódico revisado por pares]

Germany

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5
A novel outlier detection method based on Bayesian change point analysis and Hampel identifier for GNSS coordinate time series
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A novel outlier detection method based on Bayesian change point analysis and Hampel identifier for GNSS coordinate time series

Pehlivan, Hüseyin

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.44-25, Article 44 [Periódico revisado por pares]

Cham: Springer International Publishing

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6
ABYOLOv4: improved YOLOv4 human object detection based on enhanced multi-scale feature fusion
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ABYOLOv4: improved YOLOv4 human object detection based on enhanced multi-scale feature fusion

Li, Rui ; Zeng, Xin ; Yang, Shiqiang ; Li, Qi ; Yan, An ; Li, Dexin

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.6-16, Article 6 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Bias-free estimation of the covariance function and the power spectral density from data with missing samples including extended data gaps
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Bias-free estimation of the covariance function and the power spectral density from data with missing samples including extended data gaps

Damaschke, Nils ; Kühn, Volker ; Nobach, Holger

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.17-18, Article 17 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
A quantum moving target segmentation algorithm for grayscale video based on background difference method
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A quantum moving target segmentation algorithm for grayscale video based on background difference method

Wang, Lu ; Liu, Yuxiang ; Meng, Fanxu ; Liu, Wenjie ; Zhang, Zaichen ; Yu, Xutao

EPJ quantum technology, 2024-12, Vol.11 (1), p.26, Article 26 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Robust error-state Kalman-type filters for attitude estimation
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Robust error-state Kalman-type filters for attitude estimation

Bellés, Andrea ; Medina, Daniel ; Chauchat, Paul ; Labsir, Samy ; Vilà-Valls, Jordi

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.75-19, Article 75 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
An alternate representation of the geomagnetic core field obtained using machine learning
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An alternate representation of the geomagnetic core field obtained using machine learning

Kuslits, Lukács ; Horváth, András ; Wesztergom, Viktor ; Beggan, Ciaran ; Rubóczki, Tibor ; Prácser, Ernő ; Czirok, Lili ; Bozsó, István ; Lemperger, István

Earth, planets, and space, 2024-12, Vol.76 (1), p.77-41, Article 77 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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