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Graph Neural Network for Air Quality Prediction: A Case Study in Madrid
(IEEE, 2023)
Air quality monitoring, modelling and forecasting are considered pressing and challenging
topics for citizens and decision-makers, including the government. The tools used to achieve the above goals
vary depending on the ...
A set of deep learning algorithms for air quality prediction applications
(Elsevier, 2023)
This paper presents a set of machine learning algorithms, including grid-based (Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) algorithms to predict air ...
Egocentric video summarisation via purpose-orientedframe scoring and selection
(ElsevierPergamon, 2021-11-02)
Existing video summarisation techniques are quite generic in nature, since they generally overlook the important aspect of what actual purpose the summary will be serving. In sharp contrast with this mainstream work, it ...
Creating a treadmill running video game with smartwatch interaction
(Springer, 2023)
In recent years, indoor or at-home sports have experienced signifcant growth. However,
monotony is a common challenge in these static physical activities. Exergames, a genre of
video games that combines physical activity ...
Micro-patterns of gold nanoparticles assembled by photovoltaic optoelectronic tweezers: application to plasmonic fluorescence enhancement
(Optica Publishing Group, 2022-10-27)
Noble metal nanostructures are well-known for their ability to increase the efficiency of different optical or physical phenomena due to their plasmonic behavior. This work presents a simple strategy to obtain Au plasmonic ...
Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps
(Optica Publishing Group, 2024-05-10)
Defect inspection is required in various fields, and many researchers have attempted deep-learning algorithms for inspections. Deep-learning algorithms have advantages in terms of accuracy and measurement time; however, ...
Scalable and Efficient Clustering for Fingerprint-Based Positioning
(IEEE, 2023)
Abstract:
Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting needs a reference data set, also known as a radio map, in order to match the incoming fingerprint in the operational phase with the ...
Formation of Polyacetylene Films on Copper Substrate by Abnormal Glow Discharge
(Universidad Industrial de Santander, 2023)
The formation of polymeric films by plasma has become an alternative for the coating of metallic materials that require
varying their surface characteristics and improving their resistance to corrosion; because by this ...
Emotive facets of place meet urban analytics
(Wiley, 2022-10)
The lack of a well-established and unified place theory across disciplines is decelerating its formalization, evolution, and especially its pragmatic implications and applicability. In this article, we identify research ...
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
(IEEE, 2022-08-15)
Monitoring water bodies from remote sensing data is
certainly an essential task to supervise the actual conditions of the
available water resources for environment conservation, sustainable development, and many other ...