GeoAI: Integration of Artificial Intelligence, Machine Learning, and Deep Learning with GIS
Source abstract
Abstract
Geographic Information Systems (GIS) have become increasingly important in various fields such as urban planning, environmental management, transportation, and agriculture [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Traffic Prediction and Management Techniques · Human Mobility and Location-Based Analysis · Automated Road and Building Extraction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea
Funding
National Research Foundation of Korea
References (6)
Show source-provided references
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3. Iddianozie, C., and McArdle, G. (2021). Towards Robust Representations of Spatial Networks Using Graph Neural Networks. Appl. Sci., 11.10.3390/app11156918 ↗
4. Muhadi, N.A., Abdullah, A.F., Bejo, S.K., Mahadi, M.R., and Mijic, A. (2021). Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera. Appl. Sci., 11.10.3390/app11209691 ↗
5. Bosisio, A., Berizzi, A., Merlo, M., Morotti, A., and Iannarelli, G. (2022). A GIS-Based Approach for Primary Substations Siting and Timing Based on Voronoi Diagram and Particle Swarm Optimization Method. Appl. Sci., 12.10.3390/app12126008 ↗
6. Lu, E.H.-C., and Liu, C.-Y. (2021). A Spatial-Temporal Approach for Air Quality Forecast in Urban Areas. Appl. Sci., 11.10.3390/app11114971 ↗