Results 81 to 90 of about 766 (173)

Managing vector-borne diseases in a geoAI-enabled society:Malaria as an example [PDF]

More than 17 % of all infectious diseases are caused by vector-borne diseases resulting in more than 1 billion cases and over 1 million deaths each year. Of these malaria continues to be a global burden in over eighty countries.
Blanford, Justine Ianthe
core   +1 more source

Integration of Geo-Spatial Data and Machine Learning for Socio-Economic Forecasting

Journal of Applied Informatics and Computing
This study proposes an integrated Geo-Spatial Artificial Intelligence (GeoAI) framework that combines geospatial data and machine learning techniques to forecast socio-economic indicators at the regional level.
Budi Hartanto, Hilda Dwi Yunita, Fatimah Fahurian, Teuku Muhammad Fawa’ati H.S, Desmon Desmon, Rosyana Fitria Purnomo   +5 more
doaj   +1 more source

GeoAI for Precision Public Health in Agrarian Economies: Multi-Disease Risk Profiling in Rice Belt in East Java [PDF]

Public health and food security, particularly in the agribusiness sector, are interconnected. As one of the largest rice-producing provinces in Indonesia, East Java faces numerous infectious diseases.
Budi Fajar Supriyanto, Nesa Ayu Murthisari Putri, Salihati Hanifa, Titin Andriyani Atmojo, Waridad Umais Al Ayyubi   +4 more
core   +1 more source

THE ROLE OF GEOSPATIAL ARTIFICIAL INTELLIGENCE (GEOAI) IN SMART BUILT ENVIRONMENT MAPPING: AUTOMATIC OBJECT DETECTION OF RASTER TOPOGRAPHIC MAPS IN MALAYSIA

PLANNING MALAYSIA
Smart built environment mapping is integrating Geospatial Artificial Intelligence (GeoAI) to enable advanced analysis, pattern recognition, and decision-making processes. This shift in understanding, planning, designing, and managing the built environment is paving the way for a smarter, more sustainable future.
Saiful Anuar Jaafar, Abdul Rauf Abdul Rasam, Eran Sadek Said Md Sadek, Norizan Mat Diah   +3 more
openaire   +1 more source

SceneDiffusion: Scene Generation Model Embedded with Spatial Constraints

ISPRS International Journal of Geo-Information
Spatial scenes, as fundamental units of geospatial cognition, encompass rich objects and spatial relationships, and their generation techniques hold significant application value in disaster simulation and emergency drills, delayed spatial reconstruction
Shanshan Yu, Jiaxin Zhu, Jiaqi Li, Xunchun Li, Kai Wang, Jian Tu, Danhuai Guo   +6 more
doaj   +1 more source

“GEOAI Machinist”: A Serious Game to Teach the Application of Convolutional Neural Networks to Land Use and Land Cover Classification [PDF]

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe rapid growth of the Earth Observation (EO) sector due to advances in technologies such as big data and artificial ...
Rodrigues, Rebeca Nunes
core  

Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations

, 2023
This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their ...
Gao, Song, Ji, Yuhan
core  

PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model

International Journal of Applied Earth Observations and Geoinformation
Encoding geospatial location is a fundamental problem for geospatial artificial intelligence (GeoAI) research. In recent years, some methods (such as Place2Vec, Space2Vec, and Sphere2Vec) were proposed to encode geospatial point as a high-dimensional ...
Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang   +5 more
doaj   +1 more source

Advancing Coastal Flood Risk Prediction Utilizing a GeoAI Approach by Considering Mangroves as an Eco-DRR Strategy

Hydrology
Traditional coastal flood risk prediction often overlooks critical geographic features, underscoring the need for accurate risk prediction in coastal cities to ensure resilience. This study enhances the prediction of coastal flood occurrence by utilizing
Tri Atmaja, Martiwi Diah Setiawati, Kiyo Kurisu, Kensuke Fukushi   +3 more
doaj   +1 more source

DeepMapper: A GeoAI Approach to Automate the VGI Mapping Workflow

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
AI-powered mapping technologies are uniquely positioned to address the challenges of keeping online maps up-to-date in dynamic urban environments. Modern geospatial artificial intelligence (GeoAI) approaches, particularly those utilizing advanced deep ...
Lasith Niroshan, James D. Carswell
doaj   +1 more source