Zobrazeno 1 - 10
of 1 343
pro vyhledávání: '"Li Junli"'
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Introduction: This paper proposes a five-layer fully connected neural network for predicting radiation parameters in a radiation space based on detector readings.Methods: The network is trained and tested using gamma flux values from individual detec
Externí odkaz:
https://doaj.org/article/de6230b6979e401bb4ebb2a45198085d
We investigate the excitation spectra of a spin-1/2 antiferromagnetic Heisenberg trimer spin chain by employing a combination of numerical and theoretical techniques. Utilizing the Krylov-space correction-vector method in density matrix renormalizati
Externí odkaz:
http://arxiv.org/abs/2410.07347
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 47, Iss 4, Pp 283-287 (2020)
Objective To explore the clinical application value of deep learning-based artificial intelligence (AI) in the detection and related quantitative measurement of pulmonary nodules. Methods We collected 250 cases of chest CT scan and compared the misdi
Externí odkaz:
https://doaj.org/article/87857bda0bee432fb07fa3ebee5622ab
Clinical applications of FLASH radiotherapy require formulas to describe how the FLASH radiation features and other related factors determine the FLASH effect. Mathematical analysis of the models can connect the theoretical hypotheses with the radiob
Externí odkaz:
http://arxiv.org/abs/2311.15558
Publikováno v:
E3S Web of Conferences, Vol 235, p 03054 (2021)
Failure experiences induce entrepreneurs to reflect and learn, and help them accumulate entrepreneurial experience. This paper constructs a theoretical model of the influence of entrepreneurial learning on opportunity recognition ability under the fa
Externí odkaz:
https://doaj.org/article/5d0d788f8a68448cac6122c800b5b390
Speech enhancement is a demanding task in automated speech processing pipelines, focusing on separating clean speech from noisy channels. Transformer based models have recently bested RNN and CNN models in speech enhancement, however at the same time
Externí odkaz:
http://arxiv.org/abs/2308.02263
Autor:
Singh, Arnab, Li, Junli, Montoya, Sergio A., Morley, Sophie, Fischer, Peter, Kevan, Steve D., Fullerton, Eric E., Yao, Dao-Xin, Datta, Trinanjan, Roy, Sujoy
Publikováno v:
npj Quantum Mater. 9, 2 (2024)
Presence of multiple competing periodicities may result in a system to go through states with modulated periodicities, an example of which is the self-similar staircase-like structure called the Devil's staircase. Herein we report on a novel staircas
Externí odkaz:
http://arxiv.org/abs/2307.04938
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 2023, 70 (10), 4067-4079
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks. This kind of network robustness is typically measured by the time-consuming attack simulation, which returns a sequence of val
Externí odkaz:
http://arxiv.org/abs/2305.07872
Publikováno v:
Phys. Rev. B 107, 184402 (2023)
We investigate the experimental signatures of Raman spectroscopy of bi- and tri-magnon excitations in the distorted triangular lattice antiferromagnets alpha-LCr2O4 (L=Sr, Ca). We utilize spin wave theory to analyze the nearly 120 degree spin-3/2 spi
Externí odkaz:
http://arxiv.org/abs/2302.06642
Connectivity and controllability of a complex network are two important issues that guarantee a networked system to function. Robustness of connectivity and controllability guarantees the system to function properly and stably under various malicious
Externí odkaz:
http://arxiv.org/abs/2208.11847