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An interpretable online prediction method for remaining useful life of lithium-ion batteries
Z Li, S Shen, Y Ye, Z Cai, A Zhen - Scientific Reports, 2024 - nature.com
Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries is
advantageous for maintaining the stability of electrical systems. In this paper, an …
advantageous for maintaining the stability of electrical systems. In this paper, an …
A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges
Abstract Machine learning has profoundly transformed various industries, notably
revolutionizing the retail sector through diverse applications that significantly enhance …
revolutionizing the retail sector through diverse applications that significantly enhance …
Association rules mining for long uptime sucker rod pum** units
A two-stage multi-task learning model for predicting and interpreting received answers in online mental health communities
Online mental health communities (OMHCs) have emerged as a vital platform for individuals
with mental health issues to seek supports through questioning. However, there is a scarcity …
with mental health issues to seek supports through questioning. However, there is a scarcity …
[HTML][HTML] Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture
Soil moisture is a key variable in the water, energy, and carbon cycles. Map** sub-surface
soil moisture with fine spatial resolution requires integrating downscaling approaches and …
soil moisture with fine spatial resolution requires integrating downscaling approaches and …
Double-quantitative multi-granularity kernel fuzzy rough sets model and its application in rheumatoid arthritis risk assessment
X Dai, B Sun, J Bai, J Ye, X Chu - International Journal of Machine …, 2025 - Springer
The medical big data of combined Chinese and western medicine diagnosis and treatment
(CCWMDT) is difficult to be used effectively in clinical medical decision-making because of …
(CCWMDT) is difficult to be used effectively in clinical medical decision-making because of …