[HTML][HTML] Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
[HTML][HTML] Applications of artificial intelligence algorithms in the energy sector
H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …
energy management, and distributed energy integration poses new requirements for …
Short-term rockburst prediction in underground project: Insights from an explainable and interpretable ensemble learning model
Rockburst is a frequent challenge during tunnel and other underground construction and is
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
In the process of finding high-performance materials for organic photovoltaics (OPVs), it is
meaningful if one can establish the relationship between chemical structures and …
meaningful if one can establish the relationship between chemical structures and …
State of health estimation for lithium-ion battery based on energy features
D Gong, Y Gao, Y Kou, Y Wang - Energy, 2022 - Elsevier
There is a recognized need to forecast lithium-ion batteries' state of health (SOH) to
guarantee their safety and reliability. However, the selected health indicators highly …
guarantee their safety and reliability. However, the selected health indicators highly …
An effective dual self-attention residual network for seizure prediction
X Yang, J Zhao, Q Sun, J Lu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As one of the most challenging data analysis tasks in chronic brain diseases, epileptic
seizure prediction has attracted extensive attention from many researchers. Seizure …
seizure prediction has attracted extensive attention from many researchers. Seizure …
Soft computing-based EEG classification by optimal feature selection and neural networks
Brain computer interface translates electroencephalogram (EEG) signals into control
commands so that paralyzed people can control assistive devices. This human thought …
commands so that paralyzed people can control assistive devices. This human thought …
[HTML][HTML] Applications of electronic nose, electronic eye and electronic tongue in quality, safety and shelf life of meat and meat products: a review
PES Munekata, S Finardi, CK de Souza, C Meinert… - Sensors, 2023 - mdpi.com
The quality and shelf life of meat and meat products are key factors that are usually
evaluated by complex and laborious protocols and intricate sensory methods. Devices with …
evaluated by complex and laborious protocols and intricate sensory methods. Devices with …
CIUSuite 2: next-generation software for the analysis of gas-phase protein unfolding data
Ion mobility–mass spectrometry (IM–MS) has become an important addition to the structural
biology toolbox, but separating closely related protein conformations remain challenging …
biology toolbox, but separating closely related protein conformations remain challenging …
From bit to bedside: a practical framework for artificial intelligence product development in healthcare
Artificial intelligence (AI) in healthcare holds great potential to expand access to high‐quality
medical care, while reducing systemic costs. Despite hitting headlines regularly and many …
medical care, while reducing systemic costs. Despite hitting headlines regularly and many …