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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 +2 more
wiley +1 more source
A note on operator inequalities of Tsallis relative operator entropy [PDF]
, 2005 Tsallis relative operator entropy was defined as a parametric extension of relative operator entropy and the generalized Shannon inequalities were shown in the previous paper.
Furuichi, Shigeru +5 more
core +3 more sources
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 +2 more
wiley +1 more source
AxiomsWe propose the three-parameter Yun–Linear Exponential (YLE) distribution, with a specific focus on its comprehensive characterizations based on truncated moments, hazard functions, and conditional expectations.
Sabna Kuttiprath +3 more
doaj +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 +6 more
wiley +1 more source
International Journal of Financial StudiesThis study investigates systemic risk, return patterns, and diversification within the Johannesburg Stock Exchange (JSE) during the COVID-19 pandemic, utilizing data-centric approaches and the ARMA-GARCH vine copula-based conditional value-at-risk (CoVaR)
John W. M. Mwamba +2 more
doaj +1 more source
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
Comment on “Thermodynamic stability conditions for the Tsallis and Rényi entropies” by J.D. Ramshaw
Physics Letters A, 1995 Abstract Ramshaw [Phys. Lett. A 198 (1995) 119] has recently shown that if one considers the generalized entropy S q ≡k (1−∑ i p i q ) (q−1) (q ∈ R ; q = 1 corresponds to standard thermostatistics) and the standard internal energy U1≡∑ipiϵi, then thermodynamic stability of the system is not guaranteed for all values
openaire +2 more sources
, 2014 11 pages, 3 figures; Accepted for publication in Physica ...
Nayak, Anantha S +3 more
openaire +2 more sources
Searching for Universality of Turbulence in the Earth's Magnetosphere
Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley +1 more source