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Multi-input CNN-GRU based human activity recognition using wearable sensors
Multi-input CNN-GRU based human activity recognition using wearable sensors
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Multi-input CNN-GRU based human activity recognition using wearable sensors

Dua, Nidhi ; Singh, Shiva Nand ; Semwal, Vijay Bhaskar

Computing, 2021-07, Vol.103 (7), p.1461-1478 [Periódico revisado por pares]

Vienna: Springer Vienna

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Verification of Quantum Computation: An Overview of Existing Approaches
Verification of Quantum Computation: An Overview of Existing Approaches
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Verification of Quantum Computation: An Overview of Existing Approaches

Gheorghiu, Alexandru ; Kapourniotis, Theodoros ; Kashefi, Elham

Theory of computing systems, 2019-05, Vol.63 (4), p.715-808 [Periódico revisado por pares]

New York: Springer US

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3
Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations
Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations
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Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub, Jean-Paul A. ; Noura, Hassan N. ; Salman, Ola ; Chehab, Ali

International journal of information security, 2022-02, Vol.21 (1), p.115-158 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Balanced multi-perspective checking of process conformance
Balanced multi-perspective checking of process conformance
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Balanced multi-perspective checking of process conformance

Mannhardt, Felix ; de Leoni, Massimiliano ; Reijers, Hajo A. ; van der Aalst, Wil M. P.

Computing, 2016-04, Vol.98 (4), p.407-437 [Periódico revisado por pares]

Vienna: Springer Vienna

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5
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
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Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations

Mohajerin Esfahani, Peyman ; Kuhn, Daniel

Mathematical programming, 2018-09, Vol.171 (1-2), p.115-166 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Automatic detection and classification of leukocytes using convolutional neural networks
Automatic detection and classification of leukocytes using convolutional neural networks
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Automatic detection and classification of leukocytes using convolutional neural networks

Zhao, Jianwei ; Zhang, Minshu ; Zhou, Zhenghua ; Chu, Jianjun ; Cao, Feilong

Medical & biological engineering & computing, 2017-08, Vol.55 (8), p.1287-1301 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
A real-time system for biomechanical analysis of human movement and muscle function
A real-time system for biomechanical analysis of human movement and muscle function
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A real-time system for biomechanical analysis of human movement and muscle function

van den Bogert, Antonie J. ; Geijtenbeek, Thomas ; Even-Zohar, Oshri ; Steenbrink, Frans ; Hardin, Elizabeth C.

Medical & biological engineering & computing, 2013-10, Vol.51 (10), p.1069-1077 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
The N-intertwined SIS epidemic network model
The N-intertwined SIS epidemic network model
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The N-intertwined SIS epidemic network model

Van Mieghem, Piet

Computing, 2011-12, Vol.93 (2-4), p.147-169 [Periódico revisado por pares]

Vienna: Springer Vienna

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9
Prediction of lower limb joint angles and moments during gait using artificial neural networks
Prediction of lower limb joint angles and moments during gait using artificial neural networks
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Prediction of lower limb joint angles and moments during gait using artificial neural networks

Mundt, Marion ; Thomsen, Wolf ; Witter, Tom ; Koeppe, Arnd ; David, Sina ; Bamer, Franz ; Potthast, Wolfgang ; Markert, Bernd

Medical & biological engineering & computing, 2020-01, Vol.58 (1), p.211-225 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment
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The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Yoo, Tae Keun ; Choi, Joon Yul ; Seo, Jeong Gi ; Ramasubramanian, Bhoopalan ; Selvaperumal, Sundaramoorthy ; Kim, Deok Won

Medical & biological engineering & computing, 2019-03, Vol.57 (3), p.677-687 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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