Results 211 to 220 of about 549,018 (333)

The Matrix Ansatz, Orthogonal Polynomials, and Permutations [PDF]

, 2010
Sylvie Corteel, Matthieu Josuat-Vergès, Lauren Williams   +2 more
openalex   +1 more source

Robot‐Assisted Doppler Optical Coherence Tomography for Intraoperative Evaluation of Microvascular Anastomoses

Advanced Intelligent Systems, EarlyView.
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li, Yong Huang, Lu Liu, Danling Tong, Juyi Wang, Meng Li, Yujie Bai, Dedi Tong, Shan Zhu, Shanlin Chen, Qun Hao   +10 more
wiley   +1 more source

Understanding the qPCR Standard Curve: From Assay Validation to Absolute Quantification and Variance PCR. [PDF]

Int J Mol Sci
Kubista M, Forootan A, Pfaffl MW, Bustin SA, Andrade JM, Sjöback R, Sjögreen B, Ståhlberg A.   +7 more
europepmc   +1 more source

Generic skew-symmetric matrix polynomials with fixed rank and fixed odd grade

, 2017
Andrii Dmytryshyn, Froilán M. Dopico
openalex   +2 more sources

Matrix approach to hypercomplex Appell polynomials [PDF]

, 2016
Lidia Aceto, Helmuth R. Malonek, Graça Tomaz   +2 more
openalex   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

On machine learning based QSPR analysis of amphetamine derivatives using regression models. [PDF]

Sci Rep
Hanif MF, Hashem AF, Hussain M, Fiidow OA.   +3 more
europepmc   +1 more source

Sparse polynomial optimization with matrix constraints [PDF]

Jiawang Nie, Zheng Qu, Xindong Tang, Linghao Zhang   +3 more
openalex   +1 more source

Improved Cauchy radius for scalar and matrix polynomials [PDF]

, 2017
A. Melman
openalex   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source