Research graph
References from Incorporating spatio-temporal population dynamics into deep learning models for small-area population forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
The potential of small-scale spatial data in regional science
10.1007/s10037-022-00172-3 · 2022 · External reference
Demographic forecasting: 1980 to 2005 in review
10.1016/j.ijforecast.2006.04.001 · 2006 · External reference
Bayesian forecasting of demographic rates for small areas: Emigration rates by age, sex, and region in New Zealand, 2014-2038
2016 · External reference
A study on the legal issues of local finance with advent of the age of declining population
2020 · External reference
Unresolved reference
2015 · External reference
Survey on research of RNN-based spatio-temporal sequence prediction algorithms
10.32604/jbd.2021.016993 · 2021 · External reference
Forecasting small area populations with long short-term memory networks
10.1016/j.seps.2023.101658 · 2023 · External reference
Empirical asset pricing via machine learning
10.1093/rfs/hhaa009 · 2020 · External reference
Dual stream deep attention networks for annual population projection
10.1007/s10044-025-01451-8 · 2025 · External reference
Performance evaluation of LSTM and RNN models in the detection of email spam messages
10.24018/compute.2022.2.6.80 · 2022 · External reference
Analysis of the priorities of local extinction response policy and policy implications
10.20484/klog.26.4.5 · 2023 · External reference
Spatial clustering with contiguity constraint for improving prediction accuracy in spatial machine learning
10.7848/ksgpc.2024.42.4.327 · 2024 · External reference
Success mechanism of attracting and accumulating high-tech industries in IFEZ
2021 · External reference
A study on the demand zone of housing for new town: Focused on Seoul Metropolitan Area
10.5804/lhij.2015.6.3.107 · 2015 · External reference
Exploring the impact of youth migration on population redistribution
10.16879/jkca.2024.24.2.073 · 2024 · External 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 · 2021 · External reference
Unresolved reference
2022 · External reference
Commonalities and distinctions of housing outcomes of unmarried young single women in rental housing amidst demographic cliff
2024 · External reference
Trend extrapolation methods for small area population projections in Korea
2020 · External reference
Temporal convolutional attention neural networks for time series forecasting
2021 · External reference
Recurrent neural networks: A comprehensive review of architectures, variants, and applications
10.3390/info15090517 · 2024 · External 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 · 2024 · External reference
On the difficulty of training recurrent neural networks
2013 · External 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 · 2023 · External reference
The shelf life of official sub-national population forecasts in England
10.1007/s12061-019-09325-3 · 2020 · External reference
Unresolved reference
2013 · External reference
Convolutional neural networks in estimating the spatial distribution of electric vehicles to support electricity grid planning
10.1016/j.apenergy.2022.120124 · 2022 · External reference
Regional population forecast and analysis based on machine learning strategy
10.3390/e23060656 · 2021 · External reference
A study on the interregional migration pattern of the youth in non-Seoul metropolitan area large cities in South Korea
2024 · External reference
A review of convolutional neural networks in computer vision
10.1007/s10462-024-10721-6 · 2024 · External reference
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
10.1007/s10707-021-00454-x · 2022 · External reference
The potential of small-scale spatial data in regional science
10.1007/s10037-022-00172-3 · ExternalCitation · doi-reference
Dual stream deep attention networks for annual population projection
10.1007/s10044-025-01451-8 · ExternalCitation · doi-reference
A review of convolutional neural networks in computer vision
10.1007/s10462-024-10721-6 · ExternalCitation · doi-reference
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions
10.1007/s10707-021-00454-x · ExternalCitation · 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 · ExternalCitation · doi-reference
The shelf life of official sub-national population forecasts in England
10.1007/s12061-019-09325-3 · ExternalCitation · doi-reference
Convolutional neural networks in estimating the spatial distribution of electric vehicles to support electricity grid planning
10.1016/j.apenergy.2022.120124 · ExternalCitation · doi-reference
Demographic forecasting: 1980 to 2005 in review
10.1016/j.ijforecast.2006.04.001 · ExternalCitation · doi-reference
Forecasting small area populations with long short-term memory networks
10.1016/j.seps.2023.101658 · ExternalCitation · doi-reference
Empirical asset pricing via machine learning
10.1093/rfs/hhaa009 · ExternalCitation · doi-reference
Exploring the impact of youth migration on population redistribution
10.16879/jkca.2024.24.2.073 · ExternalCitation · doi-reference
Analysis of the priorities of local extinction response policy and policy implications
10.20484/klog.26.4.5 · ExternalCitation · 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 · ExternalCitation · doi-reference
Performance evaluation of LSTM and RNN models in the detection of email spam messages
10.24018/compute.2022.2.6.80 · ExternalCitation · doi-reference
Survey on research of RNN-based spatio-temporal sequence prediction algorithms
10.32604/jbd.2021.016993 · ExternalCitation · doi-reference
Regional population forecast and analysis based on machine learning strategy
10.3390/e23060656 · ExternalCitation · doi-reference
Recurrent neural networks: A comprehensive review of architectures, variants, and applications
10.3390/info15090517 · ExternalCitation · 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 · ExternalCitation · 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 · ExternalCitation · doi-reference
Spatial clustering with contiguity constraint for improving prediction accuracy in spatial machine learning
10.7848/ksgpc.2024.42.4.327 · ExternalCitation · doi-reference
