Results 211 to 220 of about 442,454 (245)

A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT. [PDF]

Sensors (Basel)
Yan H, Wang Z, Lin L, Sun J, Liu S.
europepmc   +1 more source

Abelian number fields with frobenian conditions

Mathematika, Volume 72, Issue 4, October 2026.
Abstract We study the distribution of abelian number fields with frobenian conditions imposed on the conductor. In particular, we find an asymptotic for the number of abelian field extensions of a number field k$k$ whose conductor is the sum of two squares. We also discuss an application of the Brauer group of stacks to quadratic number fields.
Julie Tavernier
wiley   +1 more source

Hyperchaotic fractional-order image encryption with Knight's tour scrambling for satellite imagery. [PDF]

Sci Rep
Mamdouh E, Aboshousha A, Alexan W.
europepmc   +1 more source

Impact of Data Temporal Resolution on the Energy Yield Modeling of Tandem Photovoltaic Devices

Solar RRL, Volume 10, Issue 18, 28 September 2026.
Temporal resolution shapes tandem photovoltaic energy yield predictions through both data averaging and point sampling. Mean resampling conserves insolation and produces stable annual estimates, whereas median and slicing introduce larger monthly deviations at coarse resolution. The results identify practical resolution limits and show how spectral and
Rajiv Daxini, William E. McMahon, John F. Geisz, Ryan M. France   +3 more
wiley   +1 more source

Comparison of surface integrity, longevity of posterior tooth-colored crowns fabricated by conventional, CAD/CAM, and 3D printing techniques. [PDF]

Front Dent Med
Hunt T, Nichols J, Harmon P, Abubakr NH.
europepmc   +1 more source

Surrogate Scattering Matrix‐Guided Inverse Design of Nanophotonic Neural Networks

Nanophotonics, Volume 15, Issue 18, 25 September 2026.
Surrogate‐guided inverse design separates task learning from electromagnetic realization by transferring a trained passive operator to a fabrication‐aware nanophotonic structure. The electromagnetic cost of each update depends on port count rather than the dataset size.
Azka Maula Iskandar Muda, Uğur Teğin
wiley   +1 more source

From Schreier graphs to secure s-boxes using a group-theoretic design framework. [PDF]

Sci Rep
Razaq A, Ramzan M, Xin Q, Alolaiyan H, Alghazzawi D.   +4 more
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, Volume 47, Issue 18, Page 16125-16154, 20 September 2026.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Quantum Threats to Bitcoin, Cryptocurrency and Blockchain. [PDF]

Blockchain Healthc Today
Khan R, Karim M, Roosan D.
europepmc   +1 more source

PARSEC.py: A Python‐Based Real‐Space Kohn–Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density

Journal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang, Carlos Mora Perez, Patrick Kwon, Martin Head‐Gordon, Jin Qian   +4 more
wiley   +1 more source