Data-driven approaches for spatio-temporal analysis: A survey of the state-of-the-arts

M Das, SK Ghosh - Journal of Computer Science and Technology, 2020 - Springer
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 …

Real-time visual analytics for in-home medical rehabilitation of stroke patient—systematic review

M Boumrah, S Garbaya, A Radgui - Medical & Biological Engineering & …, 2022 - Springer
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 …

[HTML][HTML] A framework uniting ontology-based geodata integration and geovisual analytics

L Ding, G **ao, D Calvanese, L Meng - ISPRS International Journal of …, 2020 - mdpi.com
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 …

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 …

[HTML][HTML] Visual analytics for sustainable mobility: Usability evaluation and knowledge acquisition for mobility-as-a-service (MaaS) data exploration

L Delfini, B Spahiu, G Vizzari - Digital, 2024 - mdpi.com
Urban mobility systems generate a massive volume of real-time data, providing an
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 …

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 …

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 …

ProxySense: An effective approach for gas concentration estimation using low-cost IoT sensors

N Okafor, U Mathew, D Delaney - 2022 IEEE/WIC/ACM …, 2022 - ieeexplore.ieee.org
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 …

A visual analytics approach for effective radon risk perception in the IoT era

SI Lopes, S Bogers, PM Moreira, A Curado - International Summit Smart …, 2019 - Springer
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 …