Results 131 to 140 of about 44,503 (183)

Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume. [PDF]

J Med Syst
Singh A, Farmer PE, Tully JL, Waterman RS, Gabriel RA.   +4 more
europepmc   +1 more source

Regularization of electromagnetic scattering problems via the Abel integral transform. [PDF]

Philos Trans A Math Phys Eng Sci
Vinogradova E, Smith P.
europepmc   +1 more source

In situ and real-time ultrafast spectroscopy of photoinduced reactions in perovskite nanomaterials. [PDF]

Nat Commun
Han GR, An MN, Jang H, Han NS, Kim J, Jeong KS, Yoon TH, Cho M.   +7 more
europepmc   +1 more source

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction. [PDF]

Front Public Health
Guo LR, Tan J, Hughes MC.
europepmc   +1 more source

Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques. [PDF]

J Geod
Lecomte H, Rosat S, Mandea M.
europepmc   +1 more source

AI-Enhanced Qualitative Analysis in Healthcare: Unlocking Insight from Interviews of Leadership at Top-Performing Academic Medical Centers. [PDF]

Healthcare (Basel)
Ashton T, Chatfield S.
europepmc   +1 more source

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ECG data compression using truncated singular value decomposition

IEEE Transactions on Information Technology in Biomedicine, 2001
The method of truncated singular value decomposition (SVD) is proposed for electrocardiogram (ECG) data compression. The signal decomposition capability of SVD is exploited to extract the significant feature components of the ECG by decomposing the ECG into a set of basic patterns with associated scaling factors.
J J, Wei, C J, Chang, N K, Chou, G J, Jan   +3 more
openaire   +2 more sources

Modified truncated singular value decomposition method for moving force identification

Advances in Structural Engineering, 2022
In this study, a modified truncated singular value decomposition (MTSVD) method is proposed for the identification of dynamic moving forces on simply-supported beams. By regularizing the truncated singular value decomposition (TSVD) method, the MTSVD method focuses on overcoming the ill-posed problems that intrinsically exist in moving force ...
Zhen Chen, Lu Deng, Xuan Kong
openaire   +1 more source

Target Signature Extraction Using Truncated Singular Value Decomposition for Electronic Protection

2021 IEEE Radar Conference (RadarConf21), 2021
Recent studies show that jamming suppression can be performed using modified matched filters that are matched to the transmit waveform - target response (TWTR). In many radar applications the target backscattering is reduced to a scalar factor, which is mainly related to the radar cross section (RCS).
Heitor Albuquerque, Ric A. Romero
openaire   +1 more source