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HyeYun Kang, Hyeongmo Koo, Daeheon Cho, Sang-Il Lee
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The potential of small-scale spatial data in regional science
10.1007/s10037-022-00172-3 · 2022
Demographic forecasting: 1980 to 2005 in review
10.1016/j.ijforecast.2006.04.001 · 2006
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2016
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2020
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2015
Survey on research of RNN-based spatio-temporal sequence prediction algorithms
10.32604/jbd.2021.016993 · 2021
Forecasting small area populations with long short-term memory networks
10.1016/j.seps.2023.101658 · 2023
Empirical asset pricing via machine learning
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Dual stream deep attention networks for annual population projection
10.1007/s10044-025-01451-8 · 2025
Performance evaluation of LSTM and RNN models in the detection of email spam messages
10.24018/compute.2022.2.6.80 · 2022
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
Analysis of the priorities of local extinction response policy and policy implications
10.20484/klog.26.4.5 · 2023
Spatial clustering with contiguity constraint for improving prediction accuracy in spatial machine learning
10.7848/ksgpc.2024.42.4.327 · 2024
Success mechanism of attracting and accumulating high-tech industries in IFEZ
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A study on the demand zone of housing for new town: Focused on Seoul Metropolitan Area
10.5804/lhij.2015.6.3.107 · 2015
Exploring the impact of youth migration on population redistribution
10.16879/jkca.2024.24.2.073 · 2024
Regional disparities in population change and urban decline: Implications for the low fertility and disappearing region issues
10.22905/kaopqj.2021.55.3.5 · 2021
Unresolved referenced work
2022
Commonalities and distinctions of housing outcomes of unmarried young single women in rental housing amidst demographic cliff
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Trend extrapolation methods for small area population projections in Korea
2020
Temporal convolutional attention neural networks for time series forecasting
2021
Recurrent neural networks: A comprehensive review of architectures, variants, and applications
10.3390/info15090517 · 2024
Do the reasons for out-migration among women in their 20s and 30s differ based on the level of regional extinction risk?
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On the difficulty of training recurrent neural networks
2013
Accuracy of local authority population forecasts produced by a new minimal data model: A case study of England
10.1007/s11113-023-09839-2 · 2023
The shelf life of official sub-national population forecasts in England
10.1007/s12061-019-09325-3 · 2020
Unresolved referenced work
2013
Convolutional neural networks in estimating the spatial distribution of electric vehicles to support electricity grid planning
10.1016/j.apenergy.2022.120124 · 2022
Regional population forecast and analysis based on machine learning strategy
10.3390/e23060656 · 2021
A study on the interregional migration pattern of the youth in non-Seoul metropolitan area large cities in South Korea
2024
A review of convolutional neural networks in computer vision
10.1007/s10462-024-10721-6 · 2024
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
10.1007/s10707-021-00454-x · 2022
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
10.1007/s10707-021-00454-x · doi-reference
A review of convolutional neural networks in computer vision
10.1007/s10462-024-10721-6 · doi-reference
Regional population forecast and analysis based on machine learning strategy
10.3390/e23060656 · doi-reference
Convolutional neural networks in estimating the spatial distribution of electric vehicles to support electricity grid planning
10.1016/j.apenergy.2022.120124 · doi-reference
The shelf life of official sub-national population forecasts in England
10.1007/s12061-019-09325-3 · doi-reference
Accuracy of local authority population forecasts produced by a new minimal data model: A case study of England
10.1007/s11113-023-09839-2 · doi-reference
Do the reasons for out-migration among women in their 20s and 30s differ based on the level of regional extinction risk?
10.53865/kspa.2024.5.35.3.1 · doi-reference
Recurrent neural networks: A comprehensive review of architectures, variants, and applications
10.3390/info15090517 · doi-reference
Regional disparities in population change and urban decline: Implications for the low fertility and disappearing region issues
10.22905/kaopqj.2021.55.3.5 · doi-reference
Exploring the impact of youth migration on population redistribution
10.16879/jkca.2024.24.2.073 · doi-reference
A study on the demand zone of housing for new town: Focused on Seoul Metropolitan Area
10.5804/lhij.2015.6.3.107 · doi-reference
Spatial clustering with contiguity constraint for improving prediction accuracy in spatial machine learning
10.7848/ksgpc.2024.42.4.327 · doi-reference
Analysis of the priorities of local extinction response policy and policy implications
10.20484/klog.26.4.5 · doi-reference
Performance evaluation of LSTM and RNN models in the detection of email spam messages
10.24018/compute.2022.2.6.80 · doi-reference
Dual stream deep attention networks for annual population projection
10.1007/s10044-025-01451-8 · doi-reference
Empirical asset pricing via machine learning
10.1093/rfs/hhaa009 · doi-reference
Forecasting small area populations with long short-term memory networks
10.1016/j.seps.2023.101658 · doi-reference
Survey on research of RNN-based spatio-temporal sequence prediction algorithms
10.32604/jbd.2021.016993 · doi-reference
Demographic forecasting: 1980 to 2005 in review
10.1016/j.ijforecast.2006.04.001 · doi-reference
The potential of small-scale spatial data in regional science
10.1007/s10037-022-00172-3 · doi-reference