Results 181 to 190 of about 5,889,641 (316)

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Application of Zinc-Based Metal-Organic Framework ZIF-8 on Paper: A Pilot Study on Visual Appearance and Effectiveness. [PDF]

Polymers (Basel)
Balliana E, Marchand M, Di Matteo V, Ballarin B, Cassani MC, Panzavolta S, Zendri E.   +6 more
europepmc   +1 more source

The Deterioration and Commercial Preservation of Flesh Foods. Second Paper—The Storage of Beef at Temperatures above the Freezing Point. [PDF]

, 1909
William D. Richardson, E. F. Scherubel
openalex   +1 more source

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Gas sensor for 4-ethylguaiacol detection based on tyrosinase enzymatic activity in a deep eutectic solvent. [PDF]

Mikrochim Acta
Portugal-Gómez P, Svigelj R, Zanette F, Toniolo R, Domínguez-Renedo O, Alonso-Lomillo MA.   +5 more
europepmc   +1 more source

THE PURIFICATION AND ATOMIC WEIGHT OF YTTRIUM. [SECOND PAPER.] [PDF]

, 1916
B. S. Hopkins, Clarence W. Balke
openalex   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Use of calibrated filter paper to evaluate vaginal moisture in mice. [PDF]

Sci Rep
Liu M, Charek JG, Kurian R, Vicetti Miguel RD, Cherpes TL.   +4 more
europepmc   +1 more source

THE REACTIONS OF THE ARSINES. PRELIMINARY PAPER. CONDENSATION OF PRIMARY ARSINES WITH ALDEHYDES.¹ [PDF]

, 1920
Roger Adams, Charles Shattuck Palmer
openalex   +1 more source