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Coverage Path Planning and Point-of-Interest Detection Using Autonomous Drone Swarms [PDF]

open access: yesSensors, 2022
Unmanned Aerial Vehicles (UAVs) or drones presently are enhanced with miniature sensors that can provide information relative to their environment.
Konstantinos Bezas   +3 more
doaj   +4 more sources

Large-scale Vietnamese point-of-interest classification using weak labeling [PDF]

open access: yesFrontiers in Artificial Intelligence, 2022
Point-of-Interests (POIs) represent geographic location by different categories (e.g., touristic places, amenities, or shops) and play a prominent role in several location-based applications.
Van Trung Tran   +7 more
doaj   +2 more sources

Introducing Point-of-Interest as an alternative to Area-of-Interest for fixation duration analysis. [PDF]

open access: yesPLoS ONE, 2021
Many eye-tracking data analyses rely on the Area-of-Interest (AOI) methodology, which utilizes AOIs to analyze metrics such as fixations. However, AOI-based methods have some inherent limitations including variability and subjectivity in shape, size, and
Nak Won Rim   +3 more
doaj   +2 more sources

GeoBERT: Pre-Training Geospatial Representation Learning on Point-of-Interest

open access: yesApplied Sciences, 2022
Thanks to the development of geographic information technology, geospatial representation learning based on POIs (Point-of-Interest) has gained widespread attention in the past few years.
Yunfan Gao   +3 more
doaj   +3 more sources

Exploring IoT Location Information to Perform Point of Interest Recommendation Engine: Traveling to a New Geographical Region [PDF]

open access: yesSensors, 2019
With the development of wireless Internet and the popularity of location sensors in mobile phones, the coupling degree between social networks and location sensor information is increasing.
Xu Yang   +4 more
doaj   +2 more sources

Population Mapping with Multisensor Remote Sensing Images and Point-Of-Interest Data

open access: yesRemote Sensing, 2019
Fine-resolution population distribution mapping is necessary for many purposes, which cannot be met by aggregated census data due to privacy. Many approaches utilize ancillary data that are related to population density, such as nighttime light imagery ...
Xuchao Yang   +7 more
doaj   +3 more sources

Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks

open access: yesISPRS International Journal of Geo-Information, 2021
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited.
Hang Zhang, Mingxin Gan, Xi Sun
doaj   +3 more sources

Urban Crime Risk Prediction Using Point of Interest Data

open access: yesISPRS International Journal of Geo-Information, 2020
Geographical information systems have found successful applications to prediction and decision-making in several areas of vital importance to contemporary society.
Paweł Cichosz
doaj   +3 more sources

Characteristics of the Urban Gravity Structure in the Guangzhou-Foshan Metropolitan Area Based on Multi-Source Data

open access: yesRedai dili, 2021
As the endogenous driving force of regional development, the development of urban entities in metropolitan areas has a great influence on the development of the metropolitan areas, while the interactions between the urban entities' systems directly ...
Zhan Wei   +3 more
doaj   +1 more source

China’s Wealth Capital Stock Mapping via Machine Learning Methods

open access: yesRemote Sensing, 2023
The frequent occurrence of extreme weather and the development of urbanization have led to the continuously worsening climate-related disaster losses. Socioeconomic exposure is crucial in disaster risk assessment. Social assets at risk mainly include the
Lulu Ren   +5 more
doaj   +1 more source

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