Results 171 to 180 of about 25,341,143 (317)
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari +2 more
wiley +1 more source
A machine learning-based predictive model for mandibular third molar extraction difficulty: incorporating multimodal features and SHAP analysis. [PDF]
Qiu P +5 more
europepmc +1 more source
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley +1 more source
An efficient non-invasive model for predicting cognitive impairment based on comprehensive geriatric assessment: Machine learning and SHAP analysis. [PDF]
Zhang J +6 more
europepmc +1 more source
Feature importance for predicting multiple diabetes complications based on a Stacking‐Classifier Chain model. Abstract Background Type 2 diabetes mellitus (T2DM) leads to severe microvascular and macrovascular complications. Traditional single‐label prediction models fail to capture their co‐occurring nature.
Maryam Zamani +3 more
wiley +1 more source
Predictive model of sleep disorders in pregnant women using machine learning and SHAP analysis. [PDF]
Liu C +10 more
europepmc +1 more source
Momentum Analysis Based on LightGBM and SHAP Methods
openaire +1 more source
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Triglyceride-glucose index as a key predictor of ARDS in acute pancreatitis: SHAP analysis reveals its critical role in risk stratification. [PDF]
Luo J, Chen Z, Guo C, Su Y, Ding N.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source

