Results 191 to 200 of about 901,615 (325)

A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects. [PDF]

Sci Rep
Huang JZ, Yang J, Li DS, Kong WC, Wang YF.   +4 more
europepmc   +1 more source

Stabilizing the phase of swept-source optical coherence tomography by a wrapped Gaussian mixture model. [PDF]

Opt Lett, 2021
Wei S, Kang JU.
europepmc   +1 more source

Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice

Advanced Healthcare Materials, EarlyView.
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec, Randy Lee, Jingming Cao, Sophie Marolleau, Julien Nicolas, Sébastien Benzekry   +5 more
wiley   +1 more source

Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features-Gaussian Mixture Model and Convolutional-UNet. [PDF]

Sensors (Basel)
Lv M, Liu H, Wang M, Wang D, Li H, Lu X, Guo Z, Li Q.   +7 more
europepmc   +1 more source

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. [PDF]

Sensors (Basel), 2021
Maliuk AS, Prosvirin AE, Ahmad Z, Kim CH, Kim JM.   +4 more
europepmc   +1 more source

Speaker Verification Using Adapted Gaussian Mixture Models

Digit. Signal Process., 2000
D. Reynolds, T. Quatieri, R. B. Dunn
semanticscholar   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Deciphering individual triticale grain weight patterns: A gaussian mixture model approach. [PDF]

PLoS One
Kim BH, Kwon H, Kim W.
europepmc   +1 more source

A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. [PDF]

Entropy (Basel), 2021
Komori O, Eguchi S.
europepmc   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source