Results 171 to 180 of about 25,341,143 (317)

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

open access: yesBusiness Strategy and the Environment, EarlyView.
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

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
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

A Stacked Ensemble Multi‐Label Model for Predicting Co‐Occurring Microvascular and Macrovascular Complications in Type 2 Diabetes

open access: yesChronic Diseases and Translational Medicine, EarlyView.
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]

open access: yesBMC Pregnancy Childbirth
Liu C   +10 more
europepmc   +1 more source

Momentum Analysis Based on LightGBM and SHAP Methods

open access: yesAcademic Journal of Computing & Information Science
openaire   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

open access: yesCarbon Energy, EarlyView.
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

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
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

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