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| You searched IISERK - Title: Deep-water processes and facies models [electronic resource] : implications for sandstone petroleum reservoirs / G. Shanmugam. |
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Deep learning for physics research / Martin Erdmann (RWTH Aachen University, Germany), Jonas Glombitza (RWTH Aachen University, Germany), Gregor Kasieczka (University of Hamburg, Germany), and Uwe Klemradt (RWTH Aachen University, Germany).
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Deep Learning in Multi-step Prediction of Chaotic Dynamics [electronic resource] : From Deterministic Models to Real-World Systems / by Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso.
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Deep Reinforcement Learning [electronic resource] : Fundamentals, Research and Applications / edited by Hao Dong, Zihan Ding, Shanghang Zhang.
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Deep-Sky Video Astronomy [electronic resource] / by Steve Quirk, Steve Massey.
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Deep Space Craft [electronic resource] : An Overview of Interplanetary Flight / by Dave Doody.
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Deep Space Flight and Communications [electronic resource] : Exploiting the Sun as a Gravitational Lens / by Claudio Maccone.
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Deep Space Propulsion [electronic resource] : A Roadmap to Interstellar Flight / by K. F. Long.
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The deep structure of biology : is convergence sufficiently ubiquitous to give a directional signal? / edited by Simon Conway Morris.
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Deep-water coral reefs : unique biodiversity hot-spots / Martin Hovland.
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Deep-water Coral Reefs [electronic resource] : Unique Biodiversity Hot-Spots / by Martin Hovland.
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