1 to 10 of 276 Results
Jan 18, 2017
Ettmueller, Eliane Ursula; Arnold, Matthias; Alisch, Johannes; Sassani, Nina; Kempf, Florian; Harder, Hans, 2017, "The Abou Naddara Collection - James Sanua's complete works", https://doi.org/10.11588/data/10076, heiDATA, V1
Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Therefore, the journalistic and artistic material of the Paris-exiled Egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless,... |
Jan 18, 2017 -
The Abou Naddara Collection - James Sanua's complete works
ZIP Archive - 5.6 MB -
MD5: b3f359bd9991584477b38459b25921f3
MODS files |
Feb 22, 2017
Raun, Karl H.; Paterson, Duncan, 2017, "Systematic Literature Review on Automated Monument Detection", https://doi.org/10.11588/data/10083, heiDATA, V2
This study measures the state of automated procedures within cultural heritage detection and management by correlating key terms for LiDAR data by citations. To reveal the evolution of the field, we conduct a Systematic Literature Review (SLR) using standardized search structures... |
Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 79.3 KB -
MD5: 09a21c948145b2a27d00e43cd1d2bb5d
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 1.9 MB -
MD5: 4bd2df0075be09b2216d4af131a9ae72
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 439.1 KB -
MD5: 55c67439af59d7f44e04d6044b7a0a60
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 1.8 MB -
MD5: 7685e866e0ae6be31dbdb4d7b4ebd55d
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 104.3 KB -
MD5: 91a040aae5c89c90c66eb8ab2d62efa9
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 10.9 KB -
MD5: 996aa6d70e28fe227b1c577870b809c3
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 197.5 KB -
MD5: 68348944755008106df106544bace1fa
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