Results 201 to 210 of about 374,385 (274)

A Personalized Dose-Finding Algorithm Based on Adaptive Gaussian Process Regression. [PDF]

Pharm Stat
Park Y, Chang W.
europepmc   +1 more source

Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. [PDF]

Sensors (Basel), 2023
Kuevor PE, Ghaffari M, Atkins EM, Cutler JW.   +3 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. [PDF]

Sci Rep
Kisi O, Heddam S, Parmar KS, Petroselli A, Külls C, Zounemat-Kermani M.   +5 more
europepmc   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning. [PDF]

Sensors (Basel)
Wu J, Xu R, Huang R, Hong X.
europepmc   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms.

Ecol Inform
Kovács DD, De Clerck E, Verrelst J.
europepmc   +1 more source

ADTGP: correcting single-cell antibody sequencing data using Gaussian process regression. [PDF]

Bioinformatics
Liu ACH, Chan SM.
europepmc   +1 more source

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

Advanced Science, EarlyView.
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan, Keshav Gajendra Babu, Markus Mukenhirn, Antje Garside, Vinita Ajit Kini, Trishla Adhikari, Timon Beck, Byung Ho Lee, Kyoohyun Kim, Carsten Werner, Raimund Schlüßler, Alf Honigmann, Sebastian Aland, Anna Verena Taubenberger   +13 more
wiley   +1 more source