TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…"

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods حسب Jian Ma (19747060)

"…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …"

Comparison of PDOP values between the present algorithm and the conventional algorithm at 1/4 r/s. حسب Jiahui Gan (22793753)

Comparison of the quantity of stars accessible for localization at 1/4 r/s between the presented algorithm and the conventional algorithm. حسب Jiahui Gan (22793753)

Presents the comparison of various density based algorithms. حسب Shahneela Pitafi (20454775)

The_Code_for_High_Order_Analytical_Continuation حسب Jian Ma (19747060)

"…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …"

Main code. حسب Jingguo Bi (21439766)

Data set presentation. حسب Wenguang Li (6528113)

An overview of the organization of the study program. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

The schedule of enrolment, interventions, and assessments. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. حسب Jiren CAO (20442214)

Chromosome coding. حسب Junjie He (700642)

R file for the elementary computations presented in Section 3. حسب Jürgen Kampf (21354027)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) حسب bowen pang (21837359)

"…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …"

R file for the (co)variances of the real data presented in Section 3. حسب Jürgen Kampf (21354027)

R file for the logistic regression of the real data presented in Section 3. حسب Jürgen Kampf (21354027)

R file for the mean values of the real data presented in Section 3. حسب Jürgen Kampf (21354027)

R file for the Cox regression of the real data presented in Section 3. حسب Jürgen Kampf (21354027)

The ranking of algorithms with MPTM mutation by TOPSIS. حسب Jalal- ud-Din (21474307)

الموضوعات: