Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (1)
- Architecture (1)
- Artificial Intelligence and Robotics (1)
- Computer Sciences (1)
- Environmental Sciences (1)
-
- Geographic Information Sciences (1)
- Geography (1)
- Social and Behavioral Sciences (1)
- Spatial Science (1)
- Statistical Methodology (1)
- Statistical Models (1)
- Statistics and Probability (1)
- Survival Analysis (1)
- Sustainability (1)
- Theory and Algorithms (1)
- Urban Studies and Planning (1)
- Urban, Community and Regional Planning (1)
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi
A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi
Graduate Theses, Dissertations, and Problem Reports
Land development is a complex and dynamic process simultaneously interacting with numerous environmental, cultural and economic procedures. In this research we studied past, present and future of land transformation in Appalachia. This dissertation is organized in three-essay format and each essay is focused on one aspect of land development processes in a sub-region in the Appalachian region. In the first essay, deep learning techniques are used to build predictive models for the land development. This study presets deconvolutional neural networks models in predicting land development. On the second essay, spatial data analysis and remote sensing are used to investigate the …
Quantifying Human Biological Age: A Machine Learning Approach, Syed Ashiqur Rahman
Quantifying Human Biological Age: A Machine Learning Approach, Syed Ashiqur Rahman
Graduate Theses, Dissertations, and Problem Reports
Quantifying human biological age is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age prediction, each with its advantages and limitations. In this work, we first introduce a new anthropometric measure (called Surface-based Body Shape Index, SBSI) that accounts for both body shape and body size, and evaluate its performance as a predictor of all-cause mortality. We analyzed data from the National Health and Human Nutrition Examination Survey (NHANES). Based on the analysis, we introduce a new body shape index constructed from four important anthropometric determinants of body shape and body size: body …