Results 301 to 310 of about 1,169,808 (377)

Thinned and Welded Silver Nanowires for Intelligent Pressure and Humidity Sensing Enabled by Machine Learning

Advanced Science, EarlyView.
Thinned and welded silver nanowires are prepared by selectively engineering their morphology and structure. The resulting films show enhanced optical, electrical, thermal, and mechanical properties. By incorporating machine learning, the developed pressure and humidity sensors are able to accurately identify finger pressing behaviors, monitor human ...
Jiajun Fan, Tao Wan, Tao Yin, Ziheng Feng, Peiyuan Guan, Tianxu Huang, Chao Liu, Mengyao Li, Shuying Wu, Shuhua Peng, Shihao Huang, Zhaojun Han, Dongchen Qi, Wenlong Cheng, Dewei Chu   +14 more
wiley   +1 more source

Organic photovoltaic prediction model based on Bayesian optimization and explainable AI. [PDF]

Sci Rep
Abdelghafar S, Alshater H, Abouelmagd LM, Darwish A, Hassanien AE.   +4 more
europepmc   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

Enhancing wellbore stability through machine learning for sustainable hydrocarbon exploitation. [PDF]

Sci Rep
Mahetaji M, Brahma J.
europepmc   +1 more source

Diagnosis, Prognosis, and Drug Target Discovery for Chronic Widespread Pain: A Large Proteogenomic Study

Advanced Science, EarlyView.
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen, Eoin Kelleher, Ruogu Meng, Duanke Liu, Yuchen Guo, Yunhe Wang, Yaqing Gao, Zhe Huang, Zhu Liang, Shuai Yuan, Chao Zeng, Jun Ma, Yanhui Dong, Anushka Irani, Guanghua Lei, Junqing Xie, Daniel Prieto‐Alhambra   +16 more
wiley   +1 more source

Circuit Design in Biology and Machine Learning. II. Anomaly Detection. [PDF]

Entropy (Basel)
Frank SA.
europepmc   +1 more source

ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity

Advanced Science, EarlyView.
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng, Shan Jiang, Yuxuan Song, Peng Luo, Jianfeng Li, Dehua Hu, Jian‐Guo Zhou, Guangchuang Yu, Tao Xu, Shixiang Wang   +9 more
wiley   +1 more source

Automated classification of skeletal malocclusion in German orthodontic patients. [PDF]

Clin Oral Investig
Paddenberg-Schubert E, Midlej K, Krohn S, Kuchler E, Watted N, Proff P, Iraqi FA.   +6 more
europepmc   +1 more source

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

Advanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti, Gemma Fernández‐Rubio, Mathias H. Andersen, Chiara Malvaso, Francesco Carlomagno, Claudia Testa, Peter Vuust, Morten L. Kringelbach, Mattia Rosso   +8 more
wiley   +1 more source

Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms. [PDF]

Sci Rep
Hassan R, Kazemi MR.
europepmc   +1 more source