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Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning
Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning
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Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning

Hermessi, Haithem ; Mourali, Olfa ; Zagrouba, Ezzeddine

Expert systems with applications, 2019-04, Vol.120, p.116-127 [Periódico revisado por pares]

New York: Elsevier Ltd

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12
DeepPhasePick: a method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks
DeepPhasePick: a method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks
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DeepPhasePick: a method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks

Soto, Hugo ; Schurr, Bernd

Geophysical journal international, 2021-11, Vol.227 (2), p.1268-1294 [Periódico revisado por pares]

Oxford University Press

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13
Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders
Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders
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Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders

Vasslides, James M. ; Jensen, Olaf P.

Journal of environmental management, 2016-01, Vol.166, p.348-356 [Periódico revisado por pares]

England: Elsevier Ltd

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14
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method
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PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Zhu, Weiqiang ; Beroza, Gregory C

Geophysical journal international, 2019-01 [Periódico revisado por pares]

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15
Battery state-of-charge-based control and frequency regulation in the MMG system using fuzzy logic
Battery state-of-charge-based control and frequency regulation in the MMG system using fuzzy logic
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Battery state-of-charge-based control and frequency regulation in the MMG system using fuzzy logic

Sahoo, Saroja Kanti ; Kishore, Nudurupati Krishna

IET generation, transmission & distribution, 2020-07, Vol.14 (14), p.2698-2709 [Periódico revisado por pares]

The Institution of Engineering and Technology

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16
A review of the artificial intelligence methods in groundwater level modeling
A review of the artificial intelligence methods in groundwater level modeling
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A review of the artificial intelligence methods in groundwater level modeling

Rajaee, Taher ; Ebrahimi, Hadi ; Nourani, Vahid

Journal of hydrology (Amsterdam), 2019-05, Vol.572, p.336-351 [Periódico revisado por pares]

Elsevier B.V

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17
Intelligent Distributed Generation and Storage Units for DC Microgrids-A New Concept on Cooperative Control Without Communications Beyond Droop Control
Intelligent Distributed Generation and Storage Units for DC Microgrids-A New Concept on Cooperative Control Without Communications Beyond Droop Control
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Intelligent Distributed Generation and Storage Units for DC Microgrids-A New Concept on Cooperative Control Without Communications Beyond Droop Control

Diaz, Nelson L. ; Dragicevic, Tomislav ; Vasquez, Juan C. ; Guerrero, Josep M.

IEEE transactions on smart grid, 2014-09, Vol.5 (5), p.2476-2485 [Periódico revisado por pares]

Piscataway: IEEE

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18
Multiple instance learning for histopathological breast cancer image classification
Multiple instance learning for histopathological breast cancer image classification
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Multiple instance learning for histopathological breast cancer image classification

Sudharshan, P.J. ; Petitjean, Caroline ; Spanhol, Fabio ; Oliveira, Luiz Eduardo ; Heutte, Laurent ; Honeine, Paul

Expert systems with applications, 2019-03, Vol.117, p.103-111 [Periódico revisado por pares]

New York: Elsevier Ltd

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19
Experimental Study on a Semi-Active Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicle Application
Experimental Study on a Semi-Active Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicle Application
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Experimental Study on a Semi-Active Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicle Application

Zhang, Qiao ; Li, Gang

IEEE transactions on power electronics, 2020-01, Vol.35 (1), p.1014-1021 [Periódico revisado por pares]

IEEE

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20
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
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Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

Karaboga, Dervis ; Kaya, Ebubekir

The Artificial intelligence review, 2019-12, Vol.52 (4), p.2263-2293 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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