Results 11 to 20 of about 4,199 (203)

Applications of Artificial Intelligence to Popularize Legal Knowledge and Publicize the Impact on Adolescents' Mental Health Status

Frontiers in Psychiatry, 2022
Artificial intelligence (AI) advancements have radically altered human production and daily living. When it comes to AI's quick rise, it facilitates the growth of China's citizens, and at the same moment, a lack of intelligence has led to several ...
Hao Liu
doaj   +1 more source

PyDDA: A Pythonic Direct Data Assimilation Framework for Wind Retrievals

Journal of Open Research Software, 2020
This software assimilates data from an arbitrary number of weather radars together with other spatial wind fields (eg numerical weather forecasting model data) in order to retrieve high resolution three dimensional wind fields. PyDDA uses NumPy and SciPy’
Robert Jackson, Scott Collis, Timothy Lang, Corey Potvin, Todd Munson   +4 more
doaj   +1 more source

Quantum Algorithms in Electromagnetic Propagation Modelling for Telecommunications

IEEE Access, 2023
Modelling of electromagnetic wave propagation in telecommunications has evolved from empirical models to highly deterministic ray tracing and numerical methods.
Roman Novak
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Exploiting the Clustered Sparsity for Channel Estimation in Hybrid Analog-Digital Massive MIMO Systems

IEEE Access, 2019
Although the hybrid analog–digital processing reduces the hardware complexity to realize massive multiple-input multiple-output system, it increases the difficulty of channel estimation significantly since the base station cannot obtain enough ...
Yurong Wang, Aijun Liu, Xiaochen Xia, Kui Xu   +3 more
doaj   +1 more source

Differentiable Programming Tensor Networks

Physical Review X, 2019
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and optimizes them using gradient search. The concept emerges from deep learning but is not limited to training neural networks. We present the
Hai-Jun Liao, Jin-Guo Liu, Lei Wang, Tao Xiang   +3 more
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Single-step deep reinforcement learning for two- and three-dimensional optimal shape design

AIP Advances, 2022
This research gauges the capabilities of deep reinforcement learning (DRL) techniques for direct optimal shape design in computational fluid dynamics (CFD) systems.
H. Ghraieb, J. Viquerat, A. Larcher, P. Meliga, E. Hachem   +4 more
doaj   +1 more source

Distributionally Robust Variational Quantum Algorithms With Shifted Noise

IEEE Transactions on Quantum Engineering
Given their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been developed for VQA parameter optimization, it remains a significant challenge.
Zichang He, Bo Peng, Yuri Alexeev, Zheng Zhang   +3 more
doaj   +1 more source

Optics Temperature-Dependent Nonuniformity Correction Via $\ell _{0}$-Regularized Prior for Airborne Infrared Imaging Systems

IEEE Photonics Journal, 2016
In this paper, we propose a new $\ell _{0}$ -regularized approach to remove the temperature-dependent nonuniformity effects induced by the infrared (IR) imaging optics in an aerothermal environment.
Li Liu, Tianxu Zhang
doaj   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

Optimal trajectories in $L^1$ and under $L^1$ penalizations

Comptes Rendus. Mathématique
Motivated by a MFG model where the trajectories of the agents are piecewise constants and agents pay for the number of jumps, we study a variational problem for curves of measures where the cost includes the length of the curve measures with the $L^1 ...
Dumas, Annette, Santambrogio, Filippo
doaj   +1 more source