Results 191 to 200 of about 394,431 (266)

Heart Sound Classification with MFCCs and Wavelet Daubechies Analysis Using Machine Learning Algorithms. [PDF]

Diagnostics (Basel)
Guzman-Alfaro S, Villagrana-Bañuelos KE, Soto-Murillo MA, Galván-Tejada JI, Baltazar-Raigosa A, Garcia-Duran A, Celaya-Padilla JM, Acuña-Correa A.   +7 more
europepmc   +1 more source

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

Advanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Integrating differential privacy into federated multi-task learning algorithms in <b>dsMTL</b>. [PDF]

Bioinform Adv
Schefzik R, Cao H, Rajan S, Escribà-Montagut X, González JR, Schwarz E.   +5 more
europepmc   +1 more source

Advancing the Landscape of RNAi Nanotherapeutics for Ischemic Heart Disease

Advanced Materials, EarlyView.
RNA interference (RNAi) nanomedicine revolutionizes treatment regimens for ischemic heart diseases by enabling tailored, sequence‐anchored gene regulation. This review highlights the recent advances in nanotechnology‐driven RNAi therapeutics for myocardial ischemia and discusses the key design principles that govern efficient delivery, providing ...
Han Gao, Da Pan, Hélder A. Santos
wiley   +1 more source

Rapid diagnosis of <i>Helicobacter pylori</i> infection status based on endoscopic features and deep learning algorithms. [PDF]

Front Public Health
Yu X, Li L, He Q.
europepmc   +1 more source

Decoding High‐voltage LiCoO2: From Degradation to Stabilization Toward Durable Li‐ion Batteries

Advanced Materials, EarlyView.
This review systematically addresses the degradation mechanisms and stabilization strategies for high‐voltage LiCoO2 cathodes. Key enhancement approaches including foreign‐ion doping, surface modifications, structural design, and electrolyte optimization are critically assessed.
Zezhou Lin, Yiran Ying, Huangxu Li, Yanhao Ren, Tiancheng Liu, Peiyu Hou, Haitao Huang   +6 more
wiley   +1 more source

Spectral image classification of asymptomatic peanut leaf diseases based on deep learning algorithms. [PDF]

Plant Methods
Xu L, Chen X, Xu P, Zhang Y, Zhao J.
europepmc   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Machine learning algorithms and artificial neural networks for predicting schizophrenia using orbital parameters. [PDF]

Sci Rep
Emre E, Soylemez DO, Secgin Y, Karaagac SS, Kenanoglu O, Aydin S.   +5 more
europepmc   +1 more source