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Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran
Ecological Indicators 136 (2022) 108718 Available online 26 February 2022 1470-160X/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Mappin
Ecological Indicators 136 (2022) 108718 Available online 26 February 2022 1470-160X/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Mappin
Ecological Indicators 136 (2022) 108718 Available online 26 February 2022 1470-160X/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Mappin
Mechanistic insight into the hydrogenation of acetylene on the Pd2/g-C3N4 catalyst: effect of Pd clustering on the barrier energy and selectivity
Mechanistic insight into the hydrogenation of acetylene on the Pd2/g-C3N4 catalyst: effect of Pd clustering on the barrier energy and selectivity
The LOCV finite nucleonic matter three-body cluster energy in the periodic boxes
AlN Nanotube Decorated with Small Tin Oxide Clusters as a Novel CH<sub>4</sub> Sensing Material
Cooperative Throughput Maximization in a Multi-Cluster WPCN
Cooperative Throughput Maximization in a Multi-Cluster WPCN
Fabric colour measurement in the small region of CIELab colour space using a scanner-based subtractive clustering fuzzy inference system
Digging deeper into the dense Galactic globular cluster Terzan 5 with electron-multiplying CCDs
A DFT screening of CH4 detection by (8,0) single-walled carbon nanotubes decorated with small tin oxide clusters
Signed Social Network Vulnerability Analysis in Terms of Clustering coefficient and Balance Theory