Results 51 to 60 of about 29,456 (261)

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source

Angled Nozzle Aerosol Jet Printing to Streamline Conformal Patterning of Electronics

Advanced Materials Technologies, EarlyView.
A modular, angled aerosol jet printhead is demonstrated to streamline patterning on nonplanar surfaces, including 90° step edges and confined internal geometries. A detailed analysis of gravitational settling for a sheathed aerosol flow and deconvolution of oblique deposition and gravitational effects supports the versatility of this approach for ...
Louis O. Morgan, Jeremy D. Rurup, Hal K. Griswold, Md Ramjan Ali, Ethan B. Secor   +4 more
wiley   +1 more source

Predicting hyperopic reserve in children based on school-based vision programs with ensemble learning

Frontiers in Public Health
PurposeTo develop a predictive model based on school-based vision screening programs for evaluating hyperopic reserve status in children aged 5–10 years.MethodsThis cross-sectional study included 8,035 students aged 5–10 years from senior kindergarten ...
Jing Jiang, Yu Lu, Meng Li, Yi Sun, Rong Lin, Rong Liu, Ran Qin, Qiuxia Chen, Xiao Yang, Yabin Qu   +9 more
doaj   +1 more source

Time History Gaussian Process Regression for Modeling the Dynamics of Ankle Exoskeleton User Comfort

Advanced Robotics Research, EarlyView.
Exoskeletons need to be comfortable, but the perception of comfort may change over time. This study investigated if short‐term time history directly influences comfort. No previous trials’ input features were predictive of comfort. Including the previous trial's comfort score marginally improved model accuracy compared to a model using only the current
Axl Maberry, Bo Cheng, Anne E. Martin
wiley   +1 more source

An explainable machine learning analysis of technical and tactical indicators associated with CSL match outcomes

Frontiers in Psychology
To examine the analytical value of football technical and tactical indicators in post-match outcome analysis, this study used post-match data from 240 matches in the 2024 Chinese Super League (CSL) season and constructed an explainable analytical ...
Shihuan Chen, Shihuan Chen, Xuewei Li, Yan Ouyang, Yan Ouyang, Wei Hong, Wei Hong, Weilang Jiang, Fangqing Li, Ying Zhao, Ying Liu, Yanyi Zhao, Tong Zhou   +12 more
doaj   +1 more source

Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel

Scientific Reports, 2023
Machine learning (ML) algorithms are extensively used in pharmaceutical research. Most ML models have black-box character, thus preventing the interpretation of predictions.
Andrea Mastropietro, Christian Feldmann, Jürgen Bajorath   +2 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Supervised clustering with SHAP values

, 2023
Mestrado Bolonha em Data Analytics for ...
openaire   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Explainable Machine Learning: A SHAP value-based approach to locational frequency stability

International Journal of Electrical Power & Energy Systems
The increasing complexity of modern power systems due to the high integration of Converter Interfaced Generation (CIG) challenges the effectiveness of current analytical frequency approaches, leading to instability risks and a diminished understanding of
Alinane B. Kilembe, Robert I. Hamilton, Panagiotis N. Papadopoulos   +2 more
doaj   +1 more source