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Data-driven approaches for spatio-temporal analysis: A survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote
sensing technology in present days, there has been a tremendous growth in the volume of …
sensing technology in present days, there has been a tremendous growth in the volume of …
Real-time visual analytics for in-home medical rehabilitation of stroke patient—systematic review
This paper is focused on real-time visual analytics for home-based rehabilitation dedicated
for brain stroke survivors. This research is at the intersection of three main domains: visual …
for brain stroke survivors. This research is at the intersection of three main domains: visual …
[HTML][HTML] A framework uniting ontology-based geodata integration and geovisual analytics
In a variety of applications relying on geospatial data, getting insights into heterogeneous
geodata sources is crucial for decision making, but often challenging. The reason is that it …
geodata sources is crucial for decision making, but often challenging. The reason is that it …
A distributed hybrid indexing for continuous KNN query processing over moving objects
I Bareche, Y **a - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous
evolution of mobile technology, resulting in challenges for continuous queries. We propose …
evolution of mobile technology, resulting in challenges for continuous queries. We propose …
[HTML][HTML] Visual analytics for sustainable mobility: Usability evaluation and knowledge acquisition for mobility-as-a-service (MaaS) data exploration
Urban mobility systems generate a massive volume of real-time data, providing an
exceptional opportunity to understand and optimize transportation networks. To harness this …
exceptional opportunity to understand and optimize transportation networks. To harness this …
Conveying map finesse: Thematic map making essentials for today's university students
G Schaab, S Adams, S Coetzee - Journal of Geography in Higher …, 2022 - Taylor & Francis
Maps have been used for centuries to depict the diverse facets of our environment. Thematic
maps depict a specific theme and help in revealing geospatial patterns and relations. The …
maps depict a specific theme and help in revealing geospatial patterns and relations. The …
Deep Learning Forecasting of Photovoltaics Output Using Digital
N Vilakazi, T van Zyl - Artificial Intelligence Research, 2024 - books.google.com
Solar power is an accessible form of renewable energy, especially in South Africa, where
solar radiance is concentrated. However, this source of energy is not constant in supply. Its …
solar radiance is concentrated. However, this source of energy is not constant in supply. Its …
Deep Learning Forecasting of Photovoltaics Output Using Digital Twin Data
N Vilakazi, T van Zyl - Southern African Conference for Artificial …, 2024 - Springer
Solar power is an accessible form of renewable energy, especially in South Africa, where
solar radiance is concentrated. However, this source of energy is not constant in supply. Its …
solar radiance is concentrated. However, this source of energy is not constant in supply. Its …
ProxySense: An effective approach for gas concentration estimation using low-cost IoT sensors
When equipped with an appropriate data processing pipeline and a reliable prediction
model, Low-Cost Sensor (LCS) can be relied upon as an effective option for gas …
model, Low-Cost Sensor (LCS) can be relied upon as an effective option for gas …
A visual analytics approach for effective radon risk perception in the IoT era
Radon gas is one of the most relevant indoor pollutants in areas of slaty and granitic soils,
and is considered by the World Health Organization (WHO) as the second-largest risk factor …
and is considered by the World Health Organization (WHO) as the second-largest risk factor …