grandiose
发表于 2025-3-26 21:21:51
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META
发表于 2025-3-27 02:09:07
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莎草
发表于 2025-3-27 07:55:19
Raúl Poler,Josefa Mula,Manuel Díaz-Madroñerod of rapid urban growth, on both sides of the Iron Curtain. (As a reference, we take the size of French ‘grands ensembles’, more than 1000 housing units.) This comparison could easily focus on the well-known characteristics of the socialist cities, due to the different nature of their urban policies
maverick
发表于 2025-3-27 13:17:18
Raúl Poler,Josefa Mula,Manuel Díaz-Madroñerod of rapid urban growth, on both sides of the Iron Curtain. (As a reference, we take the size of French ‘grands ensembles’, more than 1000 housing units.) This comparison could easily focus on the well-known characteristics of the socialist cities, due to the different nature of their urban policies
fixed-joint
发表于 2025-3-27 16:10:10
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VERT
发表于 2025-3-27 18:54:22
Raúl Poler,Josefa Mula,Manuel Díaz-Madroñeroogy permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integ
ALIEN
发表于 2025-3-28 01:34:38
Raúl Poler,Josefa Mula,Manuel Díaz-Madroñeros Hadoop for management and processing of huge and unstructured datasets. With this ever increasing deluge of data we now need the algorithms, tools and computing infrastructure to handle the extremely computationally intense data analytics, looking for patterns and information pertinent to creating
Tonometry
发表于 2025-3-28 05:35:38
Raúl Poler,Josefa Mula,Manuel Díaz-Madroñeroon (such as a thought or belief) and the part of the world represented (the content of the thought or belief). According to informational theories, mental states acquire their content by standing in appropriate informational and causal relations to objects (and properties) in the world. Very crudely
NUL
发表于 2025-3-28 08:22:33
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裁决
发表于 2025-3-28 11:29:47
s Hadoop for management and processing of huge and unstructured datasets. With this ever increasing deluge of data we now need the algorithms, tools and computing infrastructure to handle the extremely computationally intense data analytics, looking for patterns and information pertinent to creating