Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities

L Zhang, L Zhang - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI,
particularly machine learning algorithms, range from initial image processing to high-level …

Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics

Y Kang, S Gao, RE Roth - Cartography and Geographic …, 2024 - Taylor & Francis
The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …

Evaluation of comparing urban area land use change with Urban Atlas and CORINE data

T Aksoy, A Dabanli, M Cetin… - … Science and Pollution …, 2022 - Springer
Urban Atlas (UA) data covering the large urban areas have been produced by the European
Environment Agency for a variety of European countries including Turkey since 2006. The …

[PDF][PDF] A review and synthesis of recent geoai research for cartography: Methods, applications, and ethics

Y Kang, S Gao, R Roth - Proceedings of AutoCarto, 2022 - cartogis.org
Recent years have witnessed the development of artificial intelligence (AI) technologies that
are capable of solving a wide range of practical problems. Scholars from cartography and …

Linking the quality of life index and the typology of European administrative units

K Macků, V Voženílek, V Pászto - Journal of international …, 2022 - Wiley Online Library
In recent decades, research into the quality of life has been carried out by scientists and
political organizations. This article follows the European Union's call for a multidimensional …

Spatial multi-criteria analysis of water-covered areas: District city of Katowice—Case study

N Janczewska, M Matysik, D Absalon, Ł Pieron - Remote Sensing, 2023 - mdpi.com
The following databases contains information on land use with water in Poland: Corine Land
Cover (CLC), the Urban Atlas (UA); Database of Topographic Objects (BDOT) the digital …

Questions of science: chatting with ChatGPT about complex systems

N Crokidakis, MA de Menezes, DO Cajueiro - arXiv preprint arXiv …, 2023 - arxiv.org
We present an overview of the complex systems field using ChatGPT as a representation of
the community's understanding. ChatGPT has learned language patterns and styles from a …

[HTML][HTML] A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices

D Koç, F Koç - Sustainability, 2024 - mdpi.com
Accounting account codes are created within a specific logic framework to systematically
and accurately record a company's financial transactions. Currently, accounting reports are …

Evaluation of Orange data mining software and examples for lecturing machine learning tasks in geoinformatics

Z Dobesova - Computer Applications in Engineering Education, 2024 - Wiley Online Library
The study presents the advantages of, and possible uses for, Orange software for data
mining in combination with processing spatial data by ArcGIS Pro software in education. To …

Machine Learning Techniques for the Semiautomated Recognition of Urban and Peri-Urban Configurations

C Di Dato, F Falasca, A Marucci - International Conference on …, 2023 - Springer
Smart technologies are becoming increasingly essential in the city of the future. Urban and
peri urban dynamics description is a crucial element to manage the changes undergone in …