Tools and strategy for distance learning to respond COVID-19 pandemic in Indonesia

MNY Utomo, M Sudayanto… - Ingénierie des Systèmes d …, 2020 - papers.ssrn.com
Distance learning is a learning process that allows students and instructors are in different
physical locations. During the COVID-19 pandemic, various countries including Indonesia …

Geoinformation harvesting from social media data: A community remote sensing approach

XX Zhu, Y Wang, M Kochupillai… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …

[HTML][HTML] Utilizing volunteered geographic information for real-time analysis of fire hazards: Investigating the potential of Twitter data in assessing the impacted areas

J Florath, J Chanussot, S Keller - Fire, 2023 - mdpi.com
Natural hazards such as wildfires have proven to be more frequent in recent years, and to
minimize losses and activate emergency response, it is necessary to estimate their impact …

[HTML][HTML] Identification and classification of road traffic incidents in panama city through the analysis of a social media stream and machine learning

L Liu, A Guevara, JE Sanchez-Galan - Intelligent Systems with Applications, 2022 - Elsevier
Abstract In Panama City, Panama, as in many cities, the large number of cars on the roads
and random traffic events produce constant and extensive traffic jams. These issues are …

Minimizing viral transmission in COVID-19 like pandemics: Technologies, challenges, and opportunities

S Nisar, A Wakeel, W Tahir, M Tariq - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Coronavirus (COVID-19) pandemic has incurred huge loss to human lives throughout the
world. Scientists, researchers, and doctors are trying their best to develop and distribute the …

Nlp techniques and challenges to process social media data

TA Mir, AA Lawaye, AMUD Khanday - … of NLP and deep learning in …, 2023 - igi-global.com
Social media, a buzz term in the modern world, refers to various online platforms like social
networks, forums, blogs and blog comments, microblogs, wikis, media sharing platforms …

A systematic literature review of machine learning to predict location in social media

BP Utomo, MN Rizal - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Predicting the location is a critical issue for conducting any analyses. Location analysis is
one of analysis which processes Geographic Information (GI). Example in social media …

Enhancing disaster response with automated text information extraction from social media images

HB Firmansyah, JL Fernandez-Marquez… - 2023 IEEE Ninth …, 2023 - ieeexplore.ieee.org
During disasters, social media can serve as a valuable source of real-time information about
the impacts on people and infrastructure. However, due to the lack of geographical …

Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis

J Florath, J Chanussot, S Keller - ISPRS International Journal of Geo …, 2024 - mdpi.com
Natural hazards can present a significant risk to road infrastructure. This infrastructure is a
fundamental component of the transportation infrastructure, with significant importance …

A graph neural network-based map tiles extraction method considering POIs priority visualization on web map zoom dimension

H **e, D Li, Y Wang, Y Kawai - IEEE Access, 2022 - ieeexplore.ieee.org
Owing to the tremendous popularity of mobile networks, point-of-interest (POI) data of
location-based social networks (LBSN) provide significant geographic information on maps …