Clustering and classification for time series data in visual analytics: A survey
Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …
Different approaches have been developed to understand the characteristics of the data and …
LidSonic for visually impaired: green machine learning-based assistive smart glasses with smart app and Arduino
Smart wearable technologies such as fitness trackers are creating many new opportunities
to improve the quality of life for everyone. It is usually impossible for visually impaired people …
to improve the quality of life for everyone. It is usually impossible for visually impaired people …
Prediction of concrete dam deformation through the Combination of machine learning models
P Alocén, MÁ Fernández-Centeno, MÁ Toledo - Water, 2022 - mdpi.com
Dam safety monitoring is of vital importance, due to the high number of fatalities and large
economic damage that a failure might imply. This, along with the evolution of artificial …
economic damage that a failure might imply. This, along with the evolution of artificial …
[HTML][HTML] Greedy Weighted Stacking of Machine Learning Models for Optimizing Dam Deformation Prediction
P Alocén, MÁ Fernández-Centeno, MÁ Toledo - Water, 2024 - mdpi.com
Dam safety monitoring is critical due to its social, environmental, and economic implications.
Although conventional statistical approaches have been used for surveillance …
Although conventional statistical approaches have been used for surveillance …
Introduction to advances in selected artificial intelligence areas
M Virvou, GA Tsihrintzis, LC Jain - Advances in Selected Artificial …, 2022 - Springer
As new technological challenges are perpetually arising, Artificial Intelligence research
interests are focusing on the incorporation of improvement abilities into machines in an effort …
interests are focusing on the incorporation of improvement abilities into machines in an effort …
Machine learning workforce development programs on health and COVID-19 research
A Spanias - 2020 11th International Conference on Information …, 2020 - ieeexplore.ieee.org
This paper accompanies the keynote speech at IISA2020 and describes federally funded
workforce development research grants and supplements in the area of sensors and …
workforce development research grants and supplements in the area of sensors and …
IRES program in sensors and machine learning for energy systems
The international research experiences for students (IRES) program addresses
multidisciplinary research at the overlap of sustainability, power systems, and signal …
multidisciplinary research at the overlap of sustainability, power systems, and signal …
Introduction to advances in artificial intelligence-based technologies
As human societal organization is being restructured into, so-called,“Society 5.0”, the field of
Artificial Intelligence-based technologies is growing continuously and rapidly and expands …
Artificial Intelligence-based technologies is growing continuously and rapidly and expands …
Advances in core computer science-based technologies
GA Tsihrintzis, M Virvou - Advances in Core Computer Science-Based …, 2021 - Springer
At the dawn of the 4th Industrial Revolution, the field of computer science-based
technologies is growing continuously and rapidly, developing in both itself and towards …
technologies is growing continuously and rapidly, developing in both itself and towards …
Special collection of invited original research papers on “Contributions by women in theory and applications of artificial intelligence”
M Virvou, GA Tsihrintzis… - Intelligent Decision …, 2023 - content.iospress.com
Artificial Intelligence research is presenting phenomenal progress in two directions:(i) new
theories and methodologies, and (ii) applications that expand traditional domains with …
theories and methodologies, and (ii) applications that expand traditional domains with …