Results 151 to 160 of about 360,197 (329)

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension [PDF]

Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes   +4 more
openalex   +1 more source

Comparison of Sleep State Classification Performance Using Random Forests, Hidden Markov Models, and Non-homogeneous Hidden Markov Models

, 2020
Mathieu Chalifour
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm [PDF]

Xirui Tang, Feiyang Li, Zinan Cao, Qixuan Yu, Yulu Gong   +4 more
openalex   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source

Random Forests with Missing Values in the Covariates [PDF]

, 2010
Hothorn, Torsten, Rieger, Anna, Strobl, Carolin   +2 more
core   +1 more source

Conductive Bonding and System Architectures for High‐Performance Flexible Electronics

Advanced Functional Materials, EarlyView.
This review outlines bonding technologies and structural design strategies that support high‐performance flexible and stretchable electronics. Bonding approaches such as surface‐activated bonding and anisotropic conductive films, together with system‐level architectures including buffer layers and island‐bridge structures, possess distinct mechanical ...
Kazuma Nakajima, Kenjiro Fukuda
wiley   +1 more source

EFFNet: A skin cancer classification model based on feature fusion and random forests. [PDF]

PLoS One, 2023
Ma X, Shan J, Ning F, Li W, Li H.
europepmc   +1 more source

Classification Problem Using Imbalanced Ratio Based Random Forest Method

, 2021
Wan Wang, Junlin Guo, Wai Kin Victor Chan   +2 more
openalex   +1 more source