Results 161 to 170 of about 3,051,269 (303)

A contribution to the conditioning of the total least squares problem

, 2010
We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear system Ax=b, we show that this condition number can be computed using the singular values and the right singular vectors of [A,b] and A.
Baboulin, Marc, Gratton, Serge
openaire   +1 more source

Churned on the Farm, Valued by Customers: Southeast U.S. Consumers' Willingness‐to‐Pay for Farmstead Ice Cream

Agribusiness, EarlyView.
ABSTRACT Consumer demand for value‐added dairy products has grown substantially, yet consumer preferences for origin information (including farmstead) on ice cream remain underexplored. We used a stated preferences choice experiment to elicit consumers' willingness‐to‐pay (WTP) for ice cream across nine states in the Southeastern U.S.
Nama Raj Bhusal, Alicia Rihn, Liz Eckelkamp, Caitlin Zaring, Charley Martinez, Chris Boyer   +5 more
wiley   +1 more source

Quantile Regression for Bounded Biomedical Outcomes via the Unit Power Maxwell-Boltzmann Distribution: A COVID-19 Mortality Case Study. [PDF]

Biom J
Ahmad HH, Ramadan DA.
europepmc   +1 more source

H∞ Bounds for Least-Squares Estimators

, 1997
In this paper we obtain upper and lower bounds for the H 1 norm of the Kalman filter and RLS algorithm, with respect to prediction and filtered errors. These bounds can be used to study the robustness properties of such estimators.
Thomas Kailath, Bounds For Least-squares Estimators, Babak Hassibi   +2 more
core  

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply [PDF]

Although conventional linear regression techniques assume time constancy of parameters time varying coefficient or the problem of structural instability in econometric relationships has been recognized by econometricians.
Lee, Andrew C., Kim, Man-Keun
core  

A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction

Advanced Intelligent Discovery, EarlyView.
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen, Eugenia Ulzurrun, Nuria E. Campillo, Eduardo R. Hernández   +3 more
wiley   +1 more source

HOPE Kids 2: Phase 3, Randomized Trial of Voxelotor in Children With SCD and Conditional Cerebral Blood Flow Velocities. [PDF]

Am J Hematol
Bello-Manga H, Abdullahi SU, Hassab H, Brown B, Nduba V, Githanga J, Akinsete AM, El-Beshlawy A, Hanna D, Segbefia C, Okpala I, Tantawy A, Ogutu B, Tubman VN, Paintsil V, Wali Y, Essa M, Telfer P, Dixon S, Hickman A, Doss JF, Davis MW, Rupon J, Kirkham FJ, Brown RC, HOPE Kids 2 Investigators.   +25 more
europepmc   +1 more source

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Speech enhancement method integrating squeeze and excitation channel attention mechanism and improved CGAN. [PDF]

PLoS One
Guo Y, Liang M, Jiang T.
europepmc   +1 more source