Results 41 to 50 of about 1,791 (210)

High-Resolution Road Vehicle Collision Prediction for the City of Montreal

, 2019
Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world. In Quebec only, in 2018, road accidents are responsible for 359 deaths and 33 thousands of injuries. In this paper, we
Glatard, Tristan, Guédon, Timothée, Hébert, Antoine, Jaumard, Brigitte   +3 more
core   +1 more source

Prospective for urban informatics [PDF]

, 2022
The specialization of different urban sectors, theories, and technologies and their confluence in city development have led to a greatly accelerated growth in urban informatics, the transdisciplinary field for understanding and developing the city ...
Batty, Michael, Goodchild, Michael, Li, Qingquan, Liu, Xintao, Shi, Wenzhong, Zhang, Anshu   +5 more
core   +1 more source

Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features

International Journal of Digital Earth, 2021
To find disaster relevant social media messages, current approaches utilize natural language processing methods or machine learning algorithms relying on text only, which have not been perfected due to the variability and uncertainty in the language used
Christopher Scheele, Manzhu Yu, Qunying Huang   +2 more
doaj   +1 more source

Extracting human emotions at different places based on facial expressions and spatial clustering analysis

, 2019
The emergence of big data enables us to evaluate the various human emotions at places from a statistic perspective by applying affective computing. In this study, a novel framework for extracting human emotions from large-scale georeferenced photos at ...
Angsuesser, Stephan, Fei, Teng, Gao, Song, Jia, Qingyuan, Kang, Yuhao, Liu, Yu, Wang, Yueyao, Ye, Xinyue, Zeng, Xiaohuan   +8 more
core   +1 more source

Adopting GPU computing to support DL-based Earth science applications

International Journal of Digital Earth, 2023
With the advancement of Artificial Intelligence (AI) technologies and accumulation of big Earth data, Deep Learning (DL) has become an important method to discover patterns and understand Earth science processes in the past several years.
Zifu Wang, Yun Li, Kevin Wang, Jacob Cain, Mary Salami, Daniel Q. Duffy, Michael M. Little, Chaowei Yang   +7 more
doaj   +1 more source

Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications

Remote Sensing, 2023
Hyperspectral imagery plays a vital role in precision agriculture, forestry, environment, and geological applications. Over the past decade, extensive research has been carried out in the field of hyperspectral remote sensing.
Riyaaz Uddien Shaik, Shoba Periasamy, Weiping Zeng   +2 more
doaj   +1 more source

Know, Know Where, Know Where Graph:A densely connected, cross-domain knowledge graph and geo-enrichment service stack for applications in environmental intelligence [PDF]

, 2022
Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just a few years, KGs and their supporting technologies have become a core component of modern search engines,
Cai, Ling, Currier, Kitty, D’onofrio, Anthony, Fisher, Colby K., Gonzalez, Seila, Gu, Zhining, Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Lopez-Carr, Anna, Mai, Gengchen, Mecum, Bryce, Rehberger, Dean, Schildhauer, Mark, Schroeder, Andrew, Shi, Meilin, Shimizu, Cogan, Smith, David, Stephen, Shirly, Tian, Yuanyuan, Wang, Sizhe, Wright, Dawn, Zalewski, Joseph, Zhou, Lu, Zhu, Rui   +25 more
core   +3 more sources

Automating Archaeological Discovery: Assessing Geospatial Artificial Intelligence (GeoAI) Tools for Stone Wall Identification in Kweneng, South Africa

Archaeometry, EarlyView.
ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

A Query Understanding Framework for Earth Data Discovery

Applied Sciences, 2020
One longstanding complication with Earth data discovery involves understanding a user’s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data.
Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney, Chaowei Yang   +4 more
doaj   +1 more source