COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks
DG Costa, JPJ Peixoto - IET Smart Cities, 2020 - Wiley Online Library
While the world still struggles against the devastating effects of the COVID‐19 pandemic,
governments and organisations are discussing how new technologies can be exploited to …
governments and organisations are discussing how new technologies can be exploited to …
[HTML][HTML] Smart cities from the perspective of systems
Modern cities are complex adaptive systems in which there is a lot of dependency and
interaction between the various stakeholders, components, and subsystems. The use of …
interaction between the various stakeholders, components, and subsystems. The use of …
A CNN-LSTM deep learning classifier for motor imagery EEG detection using a low-invasive and low-cost BCI headband
FM Garcia-Moreno, M Bermudez-Edo… - 2020 16th …, 2020 - ieeexplore.ieee.org
Brain Computer Interfaces (BCI) can be used not only to monitor users, recognizing their
mental state and the activities they perform, but also to make decisions or control their …
mental state and the activities they perform, but also to make decisions or control their …
Towards unifying diffusion models for probabilistic spatio-temporal graph learning
Spatio-temporal graph learning is a fundamental problem in the Web of Things era, which
enables a plethora of Web applications such as smart cities, human mobility and climate …
enables a plethora of Web applications such as smart cities, human mobility and climate …
[HTML][HTML] Reducing response time in motor imagery using a headband and deep learning
FM Garcia-Moreno, M Bermudez-Edo, JL Garrido… - Sensors, 2020 - mdpi.com
Electroencephalography (EEG) signals to detect motor imagery have been used to help
patients with low mobility. However, the regular brain computer interfaces (BCI) capturing …
patients with low mobility. However, the regular brain computer interfaces (BCI) capturing …
[PDF][PDF] A CNN-LSTM Deep Learning Classifier for Motor Imagery EEG Detection Using a Low-Invasive and Low-Cost BCI Headband
M Bermúdez-Edo - Sensors, 2023 - easychair.org
Brain Computer Interfaces (BCI) can be used not only to monitor users, recognizing their
mental state and the activities they perform, but also to make decisions or control their …
mental state and the activities they perform, but also to make decisions or control their …
[PDF][PDF] Smart Cities from the Perspective of Systems. Systems 2022, 10, 77
Modern cities are complex adaptive systems in which there is a lot of dependency and
interaction between the various stakeholders, components, and subsystems. The use of …
interaction between the various stakeholders, components, and subsystems. The use of …
Characterizing Air Quality in Urban Areas with Mobile Measurement and High Resolution Open Spatial Data: Comparison of Different Machine-Learning Approaches …
Air quality is one of the most important topics in our urban life, as it is of great significance for
human health and urban planning. However, accurate assessment and prediction of air …
human health and urban planning. However, accurate assessment and prediction of air …