Titlebook: Computational Science and Its Applications -- ICCSA 2015; 15th International C Osvaldo Gervasi,Beniamino Murgante,Bernady O. Apdu Conferenc

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https://doi.org/10.1007/978-3-030-17486-6pressures related to agri-livestock systems are still a major concern among the general public and policy makers. In this study, carried out in Umbria region, Italy, a novel spatial database for a multi-scale analysis was designed and implemented integrating different agricultural and livestock farm

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Surfaces of enhanced roughness,ce accuracy is at an acceptable level, these algorithms performance are further enhanced to decrease analysis time, which can lead to faster detection rates. The framework makes use of powerful GPU’s (Graphics Processing Unit) in order to reduce the time spent on computation for malware detection. U

匍匐

Surfaces of enhanced roughness,e limitations in decision trees is towards the data source which they tackle. If data sources which are given as input to decision tree are of imbalance nature then the efficiency of decision tree drops drastically, we propose a decision tree structure which mimics human learning by performing balan

A保存的

Xizhang Chen,Sergey Konovalov,Yurii Ivanov’s identity-based encryption. Therefore, security reduction efficiency of these schemes is very low and it may decrease these schemes’ security. In this study, we propose a new DVPSt scheme and present a detailed security proof of the proposed DVPSt in the standard model. We also address a tight sec

不透明性

即席演說

Surface Properties of Layered Structuressis of making a sound protection mechanism. This paper attempts to build a power network vulnerability analysis framework by introducing the multi-attribute analysis logic into power network vulnerability assessment and studying the power network vulnerability under the multi-attribute, dynamic and

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