Zobrazeno 1 - 10
of 9 859
pro vyhledávání: '"SONG, Jian"'
This study investigates the imaging ability of the time-domain linear sampling method (TLSM) when applied to laser ultrasonic (LU) tomography of subsurface defects from limited-aperture measurements. In this vein, the TLSM indicator and it spectral c
Externí odkaz:
http://arxiv.org/abs/2412.05803
Stochastic resetting has shown promise in enhancing the stability of dynamical systems. Here, we apply this concept to theta neuron networks with partial resetting, where only a fraction of neurons is intermittently reset. We examine both infinite an
Externí odkaz:
http://arxiv.org/abs/2412.03909
We consider the following stochastic space-time fractional diffusion equation with vanishing initial condition:$$ \partial^{\beta} u(t, x)=- \left(-\Delta\right)^{\alpha / 2} u(t, x)+ I_{0+}^{\gamma}\left[\dot{W}(t, x)\right],\quad t\in[0,T],\: x \in
Externí odkaz:
http://arxiv.org/abs/2411.12192
Autor:
Wu, Tianfeng, Yang, Fang, Cao, Tian, Cheng, Ling, Chen, Yupeng, Song, Jian, Cheng, Julian, Han, Zhu
Existing studies on ultraviolet (UV) non-line-of-sight (NLoS) channel modeling primarily focus on scenarios without any obstacle, which makes them unsuitable for small transceiver elevation angles in most cases. To address this issue, a UV NLoS chann
Externí odkaz:
http://arxiv.org/abs/2411.16997
Autor:
Wu, Tianfeng, Yang, Fang, Yuan, Renzhi, Cao, Tian, Cheng, Ling, Song, Jian, Cheng, Julian, Han, Zhu
Existing research on non-line-of-sight (NLoS) ultraviolet (UV) channel modeling mainly focuses on scenarios where the signal propagation process is not affected by any obstacle and the radiation intensity (RI) of the light source is uniformly distrib
Externí odkaz:
http://arxiv.org/abs/2411.05363
Autor:
Wu, Tianfeng, Yang, Fang, Cao, Tian, Cheng, Ling, Chen, Yupeng, Song, Jian, Cheng, Julian, Han, Zhu
As transceiver elevation angles increase from small to large, existing ultraviolet (UV) non-line-of-sight (NLoS) models encounter two challenges: i) cannot estimate the channel characteristics of UV NLoS communication scenarios when there exists an o
Externí odkaz:
http://arxiv.org/abs/2411.15154
This study considers a wireless network where multiple nodes transmit status updates to a base station (BS) via a shared, error-free channel with limited bandwidth. The status updates arrive at each node randomly. We use the Age of Synchronization (A
Externí odkaz:
http://arxiv.org/abs/2410.04281
In recent years, Light Detection and Ranging (LiDAR) technology, a critical sensor in robotics and autonomous systems, has seen significant advancements. These improvements include enhanced resolution of point clouds and the capability to provide 360
Externí odkaz:
http://arxiv.org/abs/2409.11532
Autor:
Broni-Bediako, Clifford, Xia, Junshi, Song, Jian, Chen, Hongruixuan, Siam, Mennatullah, Yokoya, Naoto
Learning with limited labelled data is a challenging problem in various applications, including remote sensing. Few-shot semantic segmentation is one approach that can encourage deep learning models to learn from few labelled examples for novel class
Externí odkaz:
http://arxiv.org/abs/2409.11227
Global semantic 3D understanding from single-view high-resolution remote sensing (RS) imagery is crucial for Earth Observation (EO). However, this task faces significant challenges due to the high costs of annotations and data collection, as well as
Externí odkaz:
http://arxiv.org/abs/2406.18151