Results 111 to 120 of about 447,860 (319)

Unification of Conformal and Fuzzy Gravities With Internal Interactions Resulting in SO(10) and a Possible Probe Through Stochastic Gravitational Wave Background

Fortschritte der Physik, EarlyView.
Abstract The unification of conformal and fuzzy gravities with internal interactions is based on the facts that i) the tangent group of a curved manifold and the manifold itself do not necessarily have the same dimensions and ii) both gravitational theories considered here have been formulated in a gauge theoretic way.
Gregory Patellis, Danai Roumelioti, Stelios Stefas, George Zoupanos   +3 more
wiley   +1 more source

Association of the retrospective self-report ratings with the dynamics of EEG

Heliyon, 2019
The neural underpinnings of subjective experience during resting state remain elusive. Dynamic features of EEG oscillations may provide more understanding of the relationship between the content of inner conscious experience and electrical brain activity.
Galina V. Portnova, Yulia V. Ukraintseva, Krystsina M. Liaukovich, Olga V. Martynova   +3 more
doaj  

Application of spectral characteristics of electrocardiogram signals in sleep apnea

Frontiers in Bioengineering and Biotechnology
BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo ...
Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li   +5 more
doaj   +1 more source

Corrections of Electron–Phonon Coupling for Second‐Order Structural Phase Transitions

physica status solidi (b), EarlyView.
The left image illustrates a weak electron–phonon coupling, while the right image depicts a strong electron–phonon coupling. The weak electron–phonon coupling interaction between the lattice and electrons is susceptible to destabilization by an increase in temperature.
Mario Graml, Kurt Hingerl
wiley   +1 more source

A Hybrid Kernel-Based Change Detection Method for Remotely Sensed Data in a Similarity Space

Remote Sensing, 2015
Detection of damages caused by natural disasters is a delicate and difficult task due to the time constraints imposed by emergency situations. Therefore, an automatic Change Detection (CD) algorithm, with less user interaction, is always very interesting
Reza Shah-Hosseini, Saeid Homayouni, Abdolreza Safari   +2 more
doaj   +1 more source

Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning

Advanced Quantum Technologies, EarlyView.
The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos, Álvaro Sáiz, José M. Arias, Lucas Lamata, Pedro Pérez‐Fernández   +4 more
wiley   +1 more source

Hilbert-Schmidt Operators vs. Integrable Systems of Elliptic Calogero-Moser Type III. The Heun Case

Symmetry, Integrability and Geometry: Methods and Applications, 2009
The Heun equation can be rewritten as an eigenvalue equation for an ordinary differential operator of the form −d^2/dx^2+V(g;x), where the potential is an elliptic function depending on a coupling vector g in R^4. Alternatively, this operator arises from
Simon N.M. Ruijsenaars
doaj   +1 more source

Well-posedness and stability analysis of hybrid feedback systems using Shkalikov's theory [PDF]

Opuscula Mathematica, 2006
The modern method of analysis of the distributed parameter systems relies on the transformation of the dynamical model to an abstract differential equation on an appropriately chosen Banach or, if possible, Hilbert space.
Piotr Grabowski
doaj  

Toward Useful Quantum Kernels

Advanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro   +2 more
wiley   +1 more source

Statistical Complexity of Quantum Learning

Advanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone   +3 more
wiley   +1 more source