Results 11 to 20 of about 53 (53)

Micro‐Computed Tomography beamline at the Australian Synchrotron: data acquisition and processing pipeline

Journal of Synchrotron Radiation, EarlyView.
The Micro‐Computed Tomography (MCT) beamline at the Australian Synchrotron has undergone significant advancements in data acquisition and processing infrastructure to support the growing diversity of user needs and experimental techniques. Recent developments in data acquisition and processing infrastructure at the beamline are presented.The Micro ...
Darren Thompson, Benedicta D. Arhatari, Andrew Stevenson   +2 more
wiley   +1 more source

The Role of Dice in the Emergence of the Probability Calculus

International Statistical Review, EarlyView.
Summary The early development of the probability calculus was clearly influenced by the roll of dice. However, while dice have been cast since time immemorial, documented calculations on the frequency of various dice throws date back only to the mid‐13th century.
David R. Bellhouse, Christian Genest
wiley   +1 more source

Variable selection via thresholding

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 207-237, March 2026.
Abstract Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often manifest small but nonzero regression coefficients.
Ka Long Keith Ho, Hien Duy Nguyen
wiley   +1 more source

Microconcentrator Solar Panel Architectures Achieving High Specific Power for Deep Space Missions

Solar RRL, Volume 10, Issue 4, 26 February 2026.
Microconcentrator photovoltaics (microCPV) are emerging as a promising solution for powering spacecraft in deep space, where conventional solar arrays are challenged by extremely low‐intensity, low‐temperature conditions. This work presents the design, development, and characterization of two optical architectures aiming at maximizing specific power (W/
Guido Vallerotto, Anderson Bermudez‐Garcia, Gerald Siefer, Maike Wiesenfarth, Almudena Garcia‐Sanchez, Ignacio Antón, Carsten Baur, Pier Luigi Coz, César Domínguez   +8 more
wiley   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, Volume 8, Issue 2, February 2026.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Nearly 180° Field‐of‐View Metalens for Miniaturized Imaging Systems

Laser &Photonics Reviews, Volume 20, Issue 3, 5 February 2026.
A compact, single‐layer metalens is developed with an ultra‐wide field of view of ≈180 degrees. Utilizing a unique quadratic phase profile, this metalens overcomes traditional issues like axial and color dispersion. It operates across red, green, and blue wavelengths with non‐polarized light, promising enhanced imaging capabilities for integration into
Azhar Javed Satti, Eunji Lee, Isma Javed, Kyungtae Kim, Joohoon Kim, Muhammad Ashar Naveed, Muhammad Zubair, Qammer H. Abbasi, Muhammad Qasim Mehmood, Junsuk Rho   +9 more
wiley   +1 more source

On the Electromagnetic Energy Flow Along Geodesics

Radio Science, Volume 61, Issue 1, January 2026.
Abstract We present a field‐theoretic framework for modeling electromagnetic energy propagation in heterogeneous media by introducing the concept of electromagnetic geodesics. Unlike traditional ray optics, which assumes either a straight‐line propagation or a simple bending in refractive media, our approach formulates wave propagation as geodetic ...
Jacob T. Fokkema, Peter M. van den Berg
wiley   +1 more source

A Multiagent Deep Reinforcement Learning Scheme for Energy Use Optimization in UAV‐Enabled Wireless Networks With Reconfigurable Intelligent Surfaces

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
This work introduces a multiagent deep reinforcement learning (MADRL) framework for energy harvesting (EH) in unmanned aerial vehicle (UAV) networks aided by reconfigurable intelligent surfaces (RIS). The core goal is to maximize quantities of harvested energy subject to quality of service (QoS) constraints in dynamic wireless setups.
Syed Mohsin Bokhari, Muhammad Shafi, Sarmad Sohaib, Sanad Al Maskari, Muhammad Ahsan Iftikhar, Kallol Mohanta   +5 more
wiley   +1 more source

Metasurfaces in Adaptive Optics: A New Opportunity in Optical Wavefront Sensing

Laser &Photonics Reviews, Volume 19, Issue 24, December 17, 2025.
Wavefront sensing constitutes a critical component of adaptive optics systems, aimed at quantitatively measuring distorted wavefronts and enabling closed‐loop correction in optical setups. Metasurfaces, as planar optical elements composed of nanoscale structures, provide exceptional freedom in modulating multiple dimensions of the light field.
Rundong Fan, Zichao Wang, Pei Li, Lei Huang   +3 more
wiley   +1 more source

Retrieving the propagation velocity of electromagnetic waves in a two‐layered medium through diffraction curves

Near Surface Geophysics, Volume 23, Issue 6, Page 585-597, December 2025.
Abstract This paper addresses the problem of retrieving the propagation velocities of electromagnetic waves in a non‐homogeneous soil made up of two layers separated by a not‐flat interface. The propagation velocities are estimated from GPR data gathered at the air–soil interface in common offset configuration.
Raffaele Persico, Ding Yang, Gianfranco Morelli, Luigi Capozzoli, Gregory De Martino, Ilaria Catapano, Giuseppe Esposito   +6 more
wiley   +1 more source