Results 121 to 130 of about 24,310,597 (280)

Chemical Differentiation and Quantitative Analysis of Black Ginseng Based on an LC-MS Combined with Multivariate Statistical Analysis Approach. [PDF]

Molecules, 2023
Li L, Chang Z, Wei K, Tang Y, Chen Z, Zhang H, Wang Y, Zhu H, Feng B.   +8 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

Flood susceptibility mapping utilizing the integration of geospatial and multivariate statistical analysis, Erbil area in Northern Iraq as a case study. [PDF]

Sci Rep, 2023
Ahmed A, Al Maliki A, Hashim B, Alshamsi D, Arman H, Gad A.   +5 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Multivariate Statistical Analysis [PDF]

, 2008
openaire   +2 more sources

High-Precision Detection of Cellular Drug Response Based on SERS Spectrum and Multivariate Statistical Analysis. [PDF]

Biosensors (Basel), 2023
Wu F, Wu Z, Wang X, Liu Y, Ye Q.
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Applied multivariate statistical analysis

, 1992
xiv+642hlm ...
Johnson, Richard A., JOHNSON, RICHARD ARNOLD, WICHERN, DEAN W.   +2 more
core  

A multivariate adaptive trimmed likelihood algorithm [PDF]

, 2005
The research reported in this thesis describes a new algorithm which can be used to robustify statistical estimates adaptively. The algorithm does not require any pre-specified cut-off value between inlying and outlying regions and there is no ...
Schubert, Daniel
core  

Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan. [PDF]

Soc Indic Res, 2023
Perchinunno P, Massari A, L'Abbate S, Mongelli L.   +3 more
europepmc   +1 more source