NERVE 发表于 2025-3-21 19:08:03
书目名称Computational and Machine Learning Tools for Archaeological Site Modeling影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233250<br><br> <br><br>书目名称Computational and Machine Learning Tools for Archaeological Site Modeling读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233250<br><br> <br><br>不知疲倦 发表于 2025-3-21 23:14:33
Modeling Approachs is then presented, including the first results about site locations and their environment, at a regional and supra-regional scale. Finally, the chosen Machine Learning algorithm (Random Forest), its parameters and settings are described, offering a reproducible narrative methodological protocol.Nefarious 发表于 2025-3-22 01:41:18
http://reply.papertrans.cn/24/2333/233250/233250_3.pngCANON 发表于 2025-3-22 05:59:03
2190-5053 ement patterns and locational preference choices.Proposes a This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions蛤肉 发表于 2025-3-22 11:05:00
http://reply.papertrans.cn/24/2333/233250/233250_5.png归功于 发表于 2025-3-22 16:17:54
Symptome der Haut/Hautanhangsgebilde, concept is provided and an introduction to Geographic Information Systems (GIS) is given with respect to their specific use for Archaeological Site Modeling procedures. Ultimately, the gradual adoption of computer and quantitative applications in archaeology and cultural heritage management is explored.归功于 发表于 2025-3-22 19:41:49
Introductionhapter provides a general introduction to the research context and the organization of Swiss Cultural Heritage management. It synthesizes the motivation and research questions behind the study and outlines the challenges and the objectives that can arise from such innovative research at the cross roads of multiple disciplines.横条 发表于 2025-3-23 00:37:45
Space, Environment and Quantitative Approaches in Archaeology concept is provided and an introduction to Geographic Information Systems (GIS) is given with respect to their specific use for Archaeological Site Modeling procedures. Ultimately, the gradual adoption of computer and quantitative applications in archaeology and cultural heritage management is explored.JIBE 发表于 2025-3-23 04:04:53
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Materials and Dataomparative way, creating a common data architecture allowing for supra-regional analyses. Furthermore, the geo-environmental variables assumed to have influenced site location choices during Roman times and used as predictors in the modeling procedure are described.