作茧自缚 发表于 2025-3-25 05:47:22

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事情 发表于 2025-3-25 07:29:05

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Delectable 发表于 2025-3-25 13:07:03

GridFTP and Parallel TCP Support in NaradaBrokering,t makes very hard to re–use the same code for the different systems. We are trying to overcome this disadvantage by decoupling useful features of file transfer mechanisms from the implementation of the service and protocol, and instead placed into the messaging substrate. We may thus treat file tran

放气 发表于 2025-3-25 18:44:03

,Spectra of Gödel Algebras,f non-isomorphic .-element Gödel algebras, for .. From this construction we obtain a recurrence formula to compute the . of the variety of Gödel algebras .. Using such a formula we easily compute the set of cardinalities of finite Gödel algebras (the . of .), that is equal to the set of positive int

演绎 发表于 2025-3-25 20:04:23

,Genauigkeit einer stichprobenweisen Einzelfallprüfung,den, sondern lediglich eine daraus gezogene Stichprobe. Die Behandlungsausweise der Stichprobe werden einzeln geprüft und die dabei sich ergebenden Kürzungen werden auf alle von diesem Arzt eingereichten Behandlungsausweise hochgerechnet. Bei diesem Vorgehen bilden die von dem geprüften Arzt eingere

obtuse 发表于 2025-3-26 01:45:47

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CANT 发表于 2025-3-26 05:17:55

G. Burkardienz. Die Beispiele dienen gleichermaßen Mitarbeitern aus Unternehmen, Fachleuten und Hochschulangehörigen, die wissen wollen, wo man in der Praxis ansetzen kann, wenn Ressourceneffizienz umgesetzt werden soll. 

emulsify 发表于 2025-3-26 10:20:49

Novel Approaches to Unsupervised Clustering Through ,-Windows Algorithm,oximates the number of clusters during its execution. We further present modifications of this algorithm for different distributed environments, and dynamic databases. Finally, we present a modification of the algorithm that exploits the fractal dimension of the data to partition the dataset.

Subdue 发表于 2025-3-26 15:54:00

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hypertension 发表于 2025-3-26 20:10:00

Jorge Núñez Jover,Luis F. Montalvo Arrieteds to which extent they are adapted to the analyzed data space properties. We present a Multi-level Consensus Clustering framework that combines the results of several clustering algorithmic configurations to generate a multi-level consensus clustering solution in which each cluster represents an ag
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