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Titlebook: Mysteries and Discoveries of Archaeoastronomy; From Giza to Easter Giulio Magli Book 2009 Springer-Verlag New York 2009 AAS.Chaco Cany.Giu

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Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using ld also allow a continuous follow-up of assets, potentially resulting in a fine-grained view on the asset’s status. In this work three unsupervised machine learning approaches that define a Health Indicator (HI) based on acoustic and vibration signals were empirically assessed. Such a HI indicates t
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Nonprocedural programming,orithm as a step by step sequential procedure often obscures the essential nature of the procedure. In many cases, algorithms are more transparent when stated recursively, combinatorially or nondeterministically. The paper discusses these three styles of programming and gives examples of their use.
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Structural Results on Optimal Transmission Scheduling over Dynamical Fading Channels: A Constrainedel includes a transmission buffer and finite state Markov model for time-varying radio channel and incoming traffic. The resulting cross-layer optimization problem is formulated to minimize the transmission cost under the constraint on a buffer cost such as the transmission delay. Under the assumpti
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