Results 11 to 20 of about 635,008 (168)

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

Digital Light Processing of 2D Lattice Composites for Tunable Self‐Sensing and Mechanical Performance

Advanced Engineering Materials, EarlyView., 2023
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi, Mohammed Ayaz Uddin, Andreas Schiffer, Shanmugam Kumar   +3 more
wiley   +1 more source

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

Molecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

Noncommutative geometry and stochastic processes

, 2017
The recent analysis on noncommutative geometry, showing quantization of the volume for the Riemannian manifold entering the geometry, can support a view of quantum mechanics as arising by a stochastic process on it. A class of stochastic processes can be
A Dimakis, A Farina, AH Chamseddine, BK Øksendal, DJ Higham, E Nelson, F Guerra, G Weiss, GA Skorobogatov, H Grabert, M Frasca, MS Wang, P Blanchard, P Blanchard   +13 more
core   +1 more source

Kolmogorov extension theorem for (quantum) causal modelling and general probabilistic theories

, 2020
In classical physics, the Kolmogorov extension theorem lays the foundation for the theory of stochastic processes. It has been known for a long time that, in its original form, this theorem does not hold in quantum mechanics.
Milz, Simon, Modi, Kavan, Pollock, Felix A., Sakuldee, Fattah   +3 more
core   +1 more source

Stochastic processes via the pathway model [PDF]

, 2014
After collecting data from observations or experiments, the next step is to build an appropriate mathematical or stochastic model to describe the data so that further studies can be done with the help of the models. In this article, the input-output type
Haubold, H. J., Mathai, A. M.
core   +2 more sources

Combinatorial stochastic processes

Stochastic Processes and their Applications, 1994
AbstractWell-known results for sums of independent stochastic processes are extended to processes S = Σi = 1n φiΠ(i), where φ = (φi)1 ≤ i, j ≤ n is a collection of independent stochastic processes φij on some set T, and Π is a random permutation of {1, 2,…, n} such that Π, φ are independent.
openaire   +3 more sources

Domains and stochastic processes

Theoretical Computer Science, 2020
arXiv admin note: substantial text overlap with arXiv:1607 ...
openaire   +4 more sources

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

Stochastic slowdown in evolutionary processes

, 2010
We examine birth--death processes with state dependent transition probabilities and at least one absorbing boundary. In evolution, this describes selection acting on two different types in a finite population where reproductive events occur successively.
Arne Traulsen, C. W. Gardiner, Chaitanya S. Gokhale, M. Nei, N. G. v. Kampen, N. Goel, P. A. P. Moran, P. Schuster, Philipp M. Altrock, R. Bürger, S. Karlin, S. Redner, T. Maruyama, W. Feller, W. J. Ewens   +14 more
core   +1 more source