How and where is artificial intelligence in the public sector going? A literature review and research agenda
WG De Sousa, ERP de Melo, PHDS Bermejo… - Government Information …, 2019 - Elsevier
To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
Future scenarios impact on land use change and habitat quality in Lithuania
Anticipating future land use and land cover (LULC) changes can improve our knowledge of
the complexity of human-environment interactions that lead to transformations in the …
the complexity of human-environment interactions that lead to transformations in the …
A comparative study of least square support vector machines and multiclass alternating decision trees for spatial prediction of rainfall-induced landslides in a tropical …
The objective of this study is to explore and compare the least square support vector
machine (LSSVM) and multiclass alternating decision tree (MADT) techniques for the spatial …
machine (LSSVM) and multiclass alternating decision tree (MADT) techniques for the spatial …
Scenario-based land change modelling in the Indian Sundarban delta: An exploratory analysis of plausible alternative regional futures
The paper narrates an empirical research conducted for develo** four alternative socio-
ecological scenarios for the lower Gangetic delta in India (aka the Indian Sundarban). We …
ecological scenarios for the lower Gangetic delta in India (aka the Indian Sundarban). We …
Farming under urban pressure: Farmers' land use and land cover change intentions
Decisions about future land use are complex and involve a wide range of factors. The
perceptions, intentions, and interests of the stakeholders involved are usually unpredictable …
perceptions, intentions, and interests of the stakeholders involved are usually unpredictable …
Modelling future land use scenarios based on farmers' intentions and a cellular automata approach
Different mechanisms drive land use and land cover changes (LUCC). This paper presents
an exploratory analysis aimed at understanding the complex dynamics of LUCC based on …
an exploratory analysis aimed at understanding the complex dynamics of LUCC based on …
Future land use changes in a peri-urban context: Local stakeholder views
Future land use/cover change (LUCC) analysis has been increasingly applied to spatial
planning instruments in the last few years. Nevertheless, stakeholder participation in the …
planning instruments in the last few years. Nevertheless, stakeholder participation in the …
Develo** wetland landscape insecurity and hydrological security models and measuring their spatial linkages
S Pal, S Debanshi - Ecological Informatics, 2021 - Elsevier
The existing literature emphasized on the role of anthropogenic activities toward landscape
insecurity of the wetlands, but in urban dominated infrastructurally advanced study area …
insecurity of the wetlands, but in urban dominated infrastructurally advanced study area …
Combining artificial neural networks and GIS fundamentals for coastal erosion prediction modeling
The complexities of coupled environmental and human systems across the space and time
of fragile systems challenge new data-driven methodologies. Combining geographic …
of fragile systems challenge new data-driven methodologies. Combining geographic …
Modeling of land use and land cover (LULC) change based on artificial neural networks for the Chapecó river ecological corridor, Santa Catarina/Brazil
The simulation and analysis of future land use and land cover—LULC scenarios using
artificial neural networks (ANN)—has been applied in the last 25 years, producing …
artificial neural networks (ANN)—has been applied in the last 25 years, producing …