Results 151 to 160 of about 13,817 (251)

Data‐Driven Investigation of Aqueous Zinc Anode Degradation Using Design of Experiments and Bayesian Optimization

open access: yesBatteries &Supercaps, Volume 9, Issue 6, June 2026.
Optimizing reversible Zn electrodeposition is challenging due to tightly coupled degradation mechanisms. Here, we combine a symmetric cell design with fractional factorial screening and Bayesian optimization of pulsed electrodeposition to navigate this complexity, achieving a mean capacity loss of ∼1% per cycle.
Klara Neumayr   +2 more
wiley   +1 more source

Machine Learning for Raman Spectroscopy Glioblastoma Classification

open access: yesJournal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT This study presents a comprehensive evaluation of various computational models for glioblastoma cell classification using Raman spectroscopy data. We compare traditional machine learning methods such as support vector machines, boosting and random forests with more modern methods including convolutional neural networks, vision transformers and
Brendan McCane   +6 more
wiley   +1 more source

Heterogeneous Deep‐Ensemble Framework for Sentiment Analysis of Movie Reviews Based on Stacking and Voting

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 11, June 2026.
ABSTRACT Sentiment analysis of movie reviews reflects users' behavioral preferences and emotional responses to films, aiding in understanding audience needs and enhancing user experience. In recent years, deep ensemble learning has significantly improved sentiment polarity prediction by combining multiple deep models.
Hanzhe Cai, Ze Wu, Seena Joseph
wiley   +1 more source

External benchmarking of lung ultrasound models for pneumothorax‐related signs: A manifest‐based multi‐source study

open access: yesClinical and Translational Discovery, Volume 6, Issue 3, June 2026.
We built a manifest‐based reproducible benchmark of 280 lung ultrasound clips from 190 public videos. Binary lung‐sliding models misclassify lung pulse as normal and treat lung point as ambiguous, demonstrating that present‐versus‐absent classification is an incomplete proxy for pneumothorax reasoning. Abstract Background and aims Reproducible external
Takehiro Ishikawa
wiley   +1 more source

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