Results 81 to 90 of about 1,798 (292)

Support theorems for totally geodesic Radon transforms on constant curvature spaces [PDF]

, 1994
We prove a relation between the $k$-dimensional totally geodesic Radon transforms on the various constant curvature spaces using the geodesic correspondence between the spaces.
Kurusa Árpád
core   +2 more sources

High-speed target detection algorithm based on the RFT for SABBEWR

The Journal of Engineering, 2019
In space-air-based bistatic early warning radar (SABBEWR) application, the standard Radon–Fourier transform (RFT) can effectively reduce the deterioration of target-detection performance caused by the serious range migration.
Wantian Wang, Ziyue Tang, Junquan Yuan, Yichang Chen, Zhenbo Zhu, Yuanpeng Zhang   +5 more
doaj   +1 more source

Weighted Radon transforms and their applications

, 2019
Cette thèse est consacrée à l'étude des problèmes inverses des transformations de Radon pondérées dans les espaces euclidiens. D'une part, nos études sont motivées par l'application des transformations de Radon pondérées pour différentes tomographies ...
Goncharov, Fedor
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Long baseline bistatic radar imaging of tumbling space objects for enhancing space domain awareness

IET Radar, Sonar & Navigation
Long baseline bistatic radar systems herald enhanced sensitivity and metric accuracy for space objects in geosynchronous orbits and beyond. Radio telescopes are ideal participants in such a system; in particular, they often feature large apertures with ...
Alexander Serrano, Alexander Kobsa, Faruk Uysal, Delphine Cerutti‐Maori, Selenia Ghio, Andrew Kintz, Robert L. Morrison Jr., Sarah Welch, Philip vanDorp, Gregory Hogan, Simon Garrington, Cees Bassa, Chris Saunders, Marco Martorella, Miguel Caro Cuenca, Isaac Lowe   +15 more
doaj   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Extraction of Iris Characteristics Using a Combination Transform for Biometric Any individual Identification

Iraqi Journal of Information & Communication Technology
 The iris of the eye is used as an identifying and affirmative biometric in many vital applications such as banking and airports.And iris identification is one of the most reliable and accurate biometric identification systems available due to its ...
Noora H. Sherif, Anmar A. Wahab, Mohammed H. Ali   +2 more
doaj   +1 more source

Generalized Radon transforms

Generalized Radon transforms (GRTs) integrate a function over a family of possibly curved surfaces, and the need for their inversion arises in many applications including ultrasound, seismic imaging, synthetic aperture radar (SAR), thermoacoustic and ...
Holman, Sean; id_orcid
core   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source