Results 71 to 80 of about 275,814 (182)

Quantum Machine Learning Applications to Medical Images: A Survey

IET Quantum Communication, Volume 7, Issue 1, January/December 2026.
In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal, Debashis De, Dipankar Hazra   +2 more
wiley   +1 more source

Preservers for the Tsallis Entropy of Convex Combinations of Density Operators

Advances in Mathematical Physics, 2018
Let H be a complex separable Hilbert space; we first characterize the unitary equivalence of two density operators by use of Tsallis entropy and then obtain the form of a surjective map on density operators preserving Tsallis entropy of convex ...
Xiaochun Fang, Yihui Lao
doaj   +1 more source

Examining Oil Prices for Chaos, Entropy, Fractionality and Complexity, and Modeling the Impacts of Economic Policy Uncertainty and Geopolitical Risks: GARCH–MIDAS–LSTM Approach

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
As the leading energy source, oil price volatility has crucial effects in energy markets, and geopolitical risks (GPRs) and economic policy uncertainties contribute to its volatility. Further, chaos, long‐range dependence, fractionality, and complexity significantly reduce modeling and forecast performances.
Özgür Ömer Ersin, Melike Bildirici, Rajashik Paul   +2 more
wiley   +1 more source

On the Analysis of Variance Generalized Extropy Measure With Application to Engineering Data in Saudi Arabia

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Measures of uncertainty such as entropy, extropy, varentropy, and varextropy play a fundamental role in statistical modeling and information analysis of probability distributions. In this article, we present and examine the variance of generalized extropy, providing a detailed investigation of its mathematical structure and theoretical characteristics.
Mohamed Said Mohamed, Hanan H. Sakr, Smritijit Sen   +2 more
wiley   +1 more source

Inflation based on the Tsallis entropy

The European Physical Journal C
AbstractWe study the inflationary scenario in the Tsallis entropy-based cosmology. The Friedmann equations in this setup can be derived by using the first law of thermodynamics. To derive the relations of the power spectra of the scalar and tensor perturbations in this setup, we reconstruct an f(R) gravity model which is thermodynamically equivalent to
Teimoori, Zeinab, Rezazadeh, Kazem, Rostami, Abasat   +2 more
openaire   +3 more sources

DUS Kumaraswamy‐G Family of Distributions: Baseline Extension, Statistical Properties, Estimation Techniques, Actuarial Risk Measures, and Applications to United Kingdom Economic Sector Data

Journal of Mathematics, Volume 2026, Issue 1, 2026.
In this paper, we have proposed a new family of probability distribution, known as the Dinesh–Umesh–Sanjay (DUS) Kumaraswamy‐G (DUSK‐G) family, which serves as a flexible extension of the DUS generator. As a special case, we introduce the DUS Kumaraswamy Weibull (DUSKW) distribution obtained by applying the proposed transformation to the Weibull ...
Aadil Ahmad Mir, Anuwoje Ida L. Abonongo, John Abonongo, Badr S. Alnssyan, Abdelaziz Alsubie, Smritijit Sen   +5 more
wiley   +1 more source

Tsallis Entropy and Degeneracy

, 2023
For a Maxwell-Boltzmann situation, one may consider the number of permutations of N particles with n(ei) of them having energy ei i.e. N!/ Product over i n(ei)!. In such a case, n(ei)! removes the degeneracy of the identical n(ei) particles. In order to convert the degeneracies into a sum, one takes ln of the number of permutations. In such a case one
openaire   +1 more source

TSALLIS ENTROPY BASED SEIZURE DETECTION [PDF]

, 2021
This paper presents EEG signal analysis using Tsallis entropy and then it will make available for comparison with any another method along with KNN classification. Electroencephalogram (EEG) remains the most immediate, easy and rich source of information
MR.S.S.PAWAR, MISS. KADAMBARI G. NARAYANKAR   +1 more
core   +1 more source

Artificial intelligence‐assisted theranostics for brain tumors: Advancements and future perspectives

VIEW, Volume 6, Issue 6, December 2025.
Graphical demonstration of different applications of AIT for brain tumor. The major applications include CT and MRI‐based segmentation and analysis, histopathological analysis, precision treatment planning and prognosis, surgical and radiotherapy optimization, real‐time intratreatment monitoring, biomarker discovery, and molecular profiling for ...
Mifang Li, Lingyan Zhang, Zia Ullah, Yinghe Zhang, Shengxue Wei, Lihe Huang, Bing Guo   +6 more
wiley   +1 more source

Entropy in Hydrology

Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
wiley   +1 more source