Results 211 to 220 of about 110,828 (307)

Enhancing Cutting Oil Efficiency with Nanoparticle Additives: A Gaussian Process Regression Approach to Viscosity and Cost Optimization. [PDF]

Nanomaterials (Basel)
Erdoğan B, Kılıç İ, Güneş A, Yaman O, Çakır Şencan A.   +4 more
europepmc   +1 more source

Gaussian process regression for ultrasound scanline interpolation. [PDF]

J Med Imaging (Bellingham), 2022
Degirmenci A, Howe RD, Perrin DP.
europepmc   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Gaussian process regression for multivariate spectroscopic calibration

Traditionally multivariate calibration models have been developed using regression based techniques including principal component regression and partial least squares and their non-linear counterparts.
Martin E, Morris J, Chen T
core  

Predicting the academic achievement of students using black hole optimization and Gaussian process regression. [PDF]

Sci Rep
Chen Y, Yao X.
europepmc   +1 more source

Construction of a Gaussian Process Regression Model of Formamide for Use in Molecular Simulations. [PDF]

J Phys Chem A, 2023
Brown ML, Skelton JM, Popelier PLA.
europepmc   +1 more source

Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation

Advanced Science, EarlyView.
Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang, Liqin Zhou, Rong Wang, Yuehua Han, Zhentao Zuo, Yanghua Tian, Ke Zhou   +6 more
wiley   +1 more source

Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots. [PDF]

PLoS One
Alkhanani MF.
europepmc   +1 more source

Interface State Density Prediction between an Insulator and a Semiconductor by Gaussian Process Regression Models for a Modified Process. [PDF]

ACS Omega, 2023
Matsunaga K, Harada T, Harada S, Sato A, Terai S, Uenuma M, Miyao T, Uraoka Y.   +7 more
europepmc   +1 more source

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity

Advanced Science, EarlyView.
This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao, Lisa‐Marie Skrip, Heiko Tzschätzsch, Tom Meyer, Hossein S. Aghamiry, Alexander Arnold, Lene Änne Böhne, Jakob Jordan, Oliver Boehm, Agnes K. Boehm, Steffen Görner, Jakob Schattenfroh, Yanglei Wu, Pedro Augusto Dantas de Moraes, Johann Pratschke, Jürgen Braun, Igor M. Sauer, Jing Guo, Ingolf Sack, Karl H. Hillebrandt   +19 more
wiley   +1 more source