Island archeology is increasingly using network science to make sense of patterns of connectivity in the past. This article advocates in favor of a greater dialogue between these two fields, not just at the level of methodology but also of theory. Relational thinking, which lies at the heart ...
In recent years, network science applications to archaeology have significantly increased. Such studies place relationships in the core of our analytical techniques and allow us to approach a great variety of topics such as hierarchy emergence, settlement systems and circulation of information, people an...
Journal of Archaeological Science, 32(9), 1346–1356. Google Scholar Bernardini, W. (2007). Jeddito yellow ware and Hopi social networks. Kiva, 72(3), 295–328. Google Scholar Bintliff, J. (2004). Time, structure, and agency: the Annales, emergent complexity, and archaeology. In J...
In this episode of Ethnocynology, David highlights a recent paper published about a bone needle he helped excavate in the summer of 2022. While David wasn't an author on the paper, he was there when it was excavated, recorded the moment, and recently conducted interviews with the two leadi...
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Satala is one of the last great military centers in the Roman East available for archaeological and historical investigations. This archaeological site is ... MG Drahor,T.. Kurtulmu,MA Berge,... - 《Journal of Archaeological Science》 被引量: 26发表: 2008年 First High‐resolution GPR and...
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In recent year, convolutional neural networks (CNNs) have been successfully applied to a variety of image recognition tasks [1-12]. However, the representation power of CNNs is still somewhat limited in dealing with challenging image recognition tasks. Take image classification and fine-grained ...
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Firstly, the global spatial feature of the skeleton sequence is extracted by modeling all the spatial location changes of the skeleton sequence in an action. Then, according to the topological structure of human body joints and connection relations, the global spatial features are divided into local...