Machine and deep learning for longitudinal biomedical data: a review of methods and applications
A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …
technologies in homes and urban environments to elevate the quality of life for citizens. A …
Advancing fake news detection: hybrid deep learning with fasttext and explainable AI
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …
concern, prompting substantial endeavors within the research community to develop robust …
Variable-complexity machine learning models for large-scale oil spill detection: The case of Persian Gulf
S Najafizadegan, M Danesh-Yazdi - Marine Pollution Bulletin, 2023 - Elsevier
Oil spill is the main cause of marine pollution in the waterbodies with rich oil resources. In
this study, we developed and compared the performance of variable-complexity machine …
this study, we developed and compared the performance of variable-complexity machine …
Pediatric intensive care unit treatment alters the diversity and composition of the gut microbiota and antimicrobial resistance gene expression in critically ill children
J Xu, X Kong, J Li, H Mao, Y Zhu, X Zhu… - Frontiers in …, 2023 - frontiersin.org
Introduction Common critical illnesses are a growing economic burden on healthcare
worldwide. However, therapies targeting the gut microbiota for critical illnesses have not …
worldwide. However, therapies targeting the gut microbiota for critical illnesses have not …
Investigating the interaction parameters on ventilation supercavitation phenomena: Experimental and numerical analysis with machine learning interpretation
HA Kamali, M Pasandidehfard - Physics of Fluids, 2023 - pubs.aip.org
Understanding the optimal values and interactions of parameters within each process is of
highest importance. This study is dedicated to exploring the influence of various parameters …
highest importance. This study is dedicated to exploring the influence of various parameters …
The Rapid Non-Destructive Differentiation of Different Varieties of Rice by Fluorescence Hyperspectral Technology Combined with Machine Learning
Z Kang, R Fan, C Zhan, Y Wu, Y Lin, K Li, R Qing, L Xu - Molecules, 2024 - mdpi.com
A rice classification method for the fast and non-destructive differentiation of different
varieties is significant in research at present. In this study, fluorescence hyperspectral …
varieties is significant in research at present. In this study, fluorescence hyperspectral …
Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms
To mitigate the impact of dust on human health and the environment, it is crucial to create a
model and map that identifies the areas susceptible to dust. The present study focused on …
model and map that identifies the areas susceptible to dust. The present study focused on …
Quantifying the effect of socio-economic-geo drivers on the change of municipal waste disposal in China by an integrated TWFE-PRF-SDM methodology
P Yao, B Li, S Zhang, L Song, J Tai, J Zhao… - Journal of …, 2023 - Elsevier
Municipal solid waste management and disposal in China have significantly evolved since
2000. Due to China's vast land area and significant socioeconomic and geographic …
2000. Due to China's vast land area and significant socioeconomic and geographic …
Classification of parkinson disease with feature selection using genetic algorithm
Parkinson's disease is a complex neurological disorder that affects various neural,
behavioural, and physiological systems. To provide optimal treatment and improve patient …
behavioural, and physiological systems. To provide optimal treatment and improve patient …