Zobrazeno 1 - 10
of 9 726
pro vyhledávání: '"P Win"'
This paper introduces SmartBSP, an advanced self-supervised learning framework for real-time path planning and obstacle avoidance in autonomous robotics navigating through complex environments. The proposed system integrates Proximal Policy Optimizat
Externí odkaz:
http://arxiv.org/abs/2412.02176
The Harris criterion imposes a constraint on the critical behavior of a system upon introduction of new disorder, based on its dimension $d$ and localization length exponent $\nu$. It states that the new disorder can be relevant only if $d \nu < 2$.
Externí odkaz:
http://arxiv.org/abs/2411.01651
To understand the impact of vaccination, we consider a SIVR (susceptible-infected-vaccinated-recovered) model which combines impulsive vaccination into the classical SIR model. The final size is firstly defined and estimated, and then the peak value
Externí odkaz:
http://arxiv.org/abs/2410.20456
Autor:
Dils, Alex, Raymond, David, Spottiswood, Jack, Kodige, Samay, Karmin, Dylan, Kokal, Rikhil, Cowger, Win, Sadée, Chris
Current methods for microplastic identification in water samples are costly and require expert analysis. Here, we propose a deep learning segmentation model to automatically identify microplastics in microscopic images. We labeled images of microplas
Externí odkaz:
http://arxiv.org/abs/2410.19604
Autor:
Liu, Wei, Delikoyun, Kerem, Chen, Qianyu, Yildiz, Alperen, Myo, Si Ko, Kuan, Win Sen, Soong, John Tshon Yit, Cove, Matthew Edward, Hayden, Oliver, Lee, Hweekuan
Off-axis digital holographic microscopy is a high-throughput, label-free imaging technology that provides three-dimensional, high-resolution information about samples, particularly useful in large-scale cellular imaging. However, the hologram reconst
Externí odkaz:
http://arxiv.org/abs/2410.13592
Publikováno v:
IEEE Communications Magazine, Volume: 62 Issue: 10, pp 34-39, 2024
This paper will explore the design and implementation of quantum networks in space integrated with quantum networks on Earth. We propose a three-layer approach, involving GEO and LEO satellites integrated with terrestrial ground stations. We first an
Externí odkaz:
http://arxiv.org/abs/2410.13096
Autor:
Zhao, Yiwei, Li, Ziyun, Khwa, Win-San, Sun, Xiaoyu, Zhang, Sai Qian, Sarwar, Syed Shakib, Stangherlin, Kleber Hugo, Lu, Yi-Lun, Gomez, Jorge Tomas, Seo, Jae-Sun, Gibbons, Phillip B., De Salvo, Barbara, Liu, Chiao
Low-Latency and Low-Power Edge AI is essential for Virtual Reality and Augmented Reality applications. Recent advances show that hybrid models, combining convolution layers (CNN) and transformers (ViT), often achieve superior accuracy/performance tra
Externí odkaz:
http://arxiv.org/abs/2410.08326
Autor:
Gupta, Prannaya, Yau, Le Qi, Low, Hao Han, Lee, I-Shiang, Lim, Hugo Maximus, Teoh, Yu Xin, Koh, Jia Hng, Liew, Dar Win, Bhardwaj, Rishabh, Bhardwaj, Rajat, Poria, Soujanya
WalledEval is a comprehensive AI safety testing toolkit designed to evaluate large language models (LLMs). It accommodates a diverse range of models, including both open-weight and API-based ones, and features over 35 safety benchmarks covering areas
Externí odkaz:
http://arxiv.org/abs/2408.03837
In this paper we propose a new $S$-matrix approach to numerical simulations of network models and apply it to random networks that we proposed in a previous work 10.1103/PhysRevB.95.125414. Random networks are modifications of the Chalker-Coddington
Externí odkaz:
http://arxiv.org/abs/2407.04132
Systematic and comparative research on Lorenz ratios for graphene and nonrelativistic systems has been studied to identify their Wiedemann-Franz law violation domain. Fermi energy and temperature are the main governing parameters for deciding the val
Externí odkaz:
http://arxiv.org/abs/2404.01061