Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning in economics: a systematic and critical review
From the perspective of historical review, the methodology of economics develops from
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Though global-coverage urban perception datasets have been recently created using
machine learning, their efficacy in accurately assessing local urban perceptions for other …
machine learning, their efficacy in accurately assessing local urban perceptions for other …
Understanding house price appreciation using multi-source big geo-data and machine learning
Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …
estate market analyses. Although large amounts of interests have been paid in the house …
Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing …
National land use policies and strategies worldwide have attempted to establish a healthy
housing rental market towards urban sustainability. Monitoring fine-scale housing rental …
housing rental market towards urban sustainability. Monitoring fine-scale housing rental …
Perceptions of built environment and health outcomes for older Chinese in Bei**g: A big data approach with street view images and deep learning technique
Built environment attributes have been demonstrated to be associated with various health
outcomes. However, most empirical studies have typically focused on objective built …
outcomes. However, most empirical studies have typically focused on objective built …
The research development of hedonic price model-based real estate appraisal in the era of big data
In the era of big data, advances in relevant technologies are profoundly impacting the field of
real estate appraisal. Many scholars regard the integration of big data technology as an …
real estate appraisal. Many scholars regard the integration of big data technology as an …
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method
Land-use classification plays an important role in urban planning and resource allocation
and had contributed to a wide range of urban studies and investigations. With the …
and had contributed to a wide range of urban studies and investigations. With the …
Effective or useless? Assessing the impact of park entrance addition policy on green space services from the 15-min city perspective
This study investigates an innovative approach to enhance urban green space access by
adding new park entrances rather than expanding the green space itself, aiming for …
adding new park entrances rather than expanding the green space itself, aiming for …
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …