Results 111 to 120 of about 4,182 (258)

Deep-Learning-Driven Full-Waveform Inversion for Ultrasound Breast Imaging. [PDF]

Sensors (Basel), 2021
Robins T, Camacho J, Agudo OC, Herraiz JL, Guasch L.   +4 more
europepmc   +1 more source

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints

Applied Sciences
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-
Cen Cao, Deshan Feng, Jia Tang, Xun Wang
doaj   +1 more source

A probabilistic approach to tomography and adjoint state methods, with an application to full waveform inversion in medical ultrasound. [PDF]

Inverse Probl, 2022
Bates O, Guasch L, Strong G, Robins TC, Calderon-Agudo O, Cueto C, Cudeiro J, Tang M, Tang M.   +8 more
europepmc   +1 more source

Challenges and Opportunities in Multi‐Method Integrated Geophysical Prospection of Buried Building Remains at the Sanctuary of Olympia

Archaeological Prospection, EarlyView.
ABSTRACT Ancient Olympia was one of the most important sanctuaries and the venue for the Olympic Games in Greek and Roman times. Its remains are located in the Olympia Terrace (Peloponnese, Greece) at the present‐day confluence of the rivers Alpheios and Kladeos at the base of Mount Kronos.
Sarah Bäumler, Dennis Wilken, Peter Fischer, Lena Slabon, Timo Willershäuser, Birgitta Eder, Hans‐Joachim Gehrke, Erofili‐Iris Kolia, Franziska Lang, Oliver Pilz, Andreas Vött   +10 more
wiley   +1 more source

How Does Neural Network Reparametrization Improve Geophysical Inversion?

Journal of Geophysical Research: Machine Learning and Computation
Full waveform inversion (FWI) is a high‐resolution seismic inversion technique and great efforts have been made to mitigate the multi‐solution problem, such as the traditional total variation (TV) regularization. Different from traditional regularization,
Yuping Wu, Jianwei Ma
doaj   +1 more source

Full waveform inversion based on deep learning and the phase-preserving symplectic partitioned Runge-Kutta method

Frontiers in Earth Science
To obtain more accurate full waveform inversion results, we present a forward modeling method with minimal phase error, low numerical dispersion, and high computational efficiency.
Yanjie Zhou, Xianxiang Leng, Xueyuan Huang, Xijun He, Tianming Cao   +4 more
doaj   +1 more source

A new hybrid optimization approach using PSO, Nelder-Mead Simplex and Kmeans clustering algorithms for 1D Full Waveform Inversion. [PDF]

PLoS One, 2022
Aguiar Nascimento R, Neto ÁB, Bezerra YSF, do Nascimento HAD, Lucena LDS, de Freitas JE.   +5 more
europepmc   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Experimental methods in chemical engineering: Cyclic voltammetry—CV

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Cyclic voltammetry (CV) is a foundational electroanalytical technique for investigating redox behaviour and evaluating material performance across fields such as molecular electrochemistry, electrocatalysis, sensing, and energy storage. Despite its widespread use, a gap remains between formal electrochemical theory and the practical data ...
Yasser Matos‐Peralta, Christopher Panaritis, JoElen Hagler, Clara Santato, Gregory S. Patience   +4 more
wiley   +1 more source