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Non-standard subduction of gabbroic lithosphere into gabbroic mush ocean
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Non-standard subduction of gabbroic lithosphere into gabbroic mush ocean

Sleep, N H

Eos (Washington, D.C.), 2006-12, Vol.87 (52)

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12
Neural Network Classification of Receiver Functions as a Step Towards Automatic Crustal Parameter Determination
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Neural Network Classification of Receiver Functions as a Step Towards Automatic Crustal Parameter Determination

Dugda, M T ; Reusch, D ; Nyblade, A

Eos (Washington, D.C.), 2006-12, Vol.87 (52)

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13
Ice Cores and Self-organizing Maps: A Study of Recent Climate in Greenland
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Ice Cores and Self-organizing Maps: A Study of Recent Climate in Greenland

Reusch, D B ; McConnell, J R ; Alley, R B

Eos (Washington, D.C.), 2006-12, Vol.87 (52)

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14
Self-Organization and Correlations of the San Andreas Fault System through Interactions: Forecasting based on Recreating Great Earthquakes in the Computer
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Self-Organization and Correlations of the San Andreas Fault System through Interactions: Forecasting based on Recreating Great Earthquakes in the Computer

Rundle, J B ; Rundle, P B ; Turcotte, D L ; Yakovlev, G ; Van Aalsburg, J ; Donnellan, A ; Tiampo, K F ; Klein, W

Eos (Washington, D.C.), 2006-12, Vol.87 (52)

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15
Toward In-Band Self-Organization in Energy-Efficient MAC Protocols for Sensor Networks
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Toward In-Band Self-Organization in Energy-Efficient MAC Protocols for Sensor Networks

Fan Yu ; Tao Wu ; Biswas, S.

IEEE transactions on mobile computing, 2008-02, Vol.7 (2), p.156-170 [Periódico revisado por pares]

New York, NY: IEEE

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16
Swarm intelligence and signal processing DSP Exploratory
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Swarm intelligence and signal processing DSP Exploratory

Merkle, D ; Middendorf, M

IEEE signal processing magazine, 2008-01, Vol.25 (6)

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17
Unsupervised neural networks- disruptive technology for seismic interpretation
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Unsupervised neural networks- disruptive technology for seismic interpretation

SMITH, Tom

The Oil & gas journal, 2010-10, Vol.108 (37), p.42

Tulsa, OK: Pennwell

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