Výsledky vyhledávání

Akademický článek

Efficient angle-aware coverage control for large-scale 3D map reconstruction using drone networks

Autor: Muhammad Hanif, Takumi Shimizu, Lu Zhiyuan, Masaya Suenaga, Takeshi Hatanaka

Publikováno v: SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 144-155 (2024)

This paper presents a novel angle-aware coverage control method to enhance monitoring efficiency for large-scale 3D map reconstruction using drone networks. The proposed method integrates a Voronoi-based coverage control as the nominal input into the

Externí odkaz: https://doaj.org/article/eabe23138c274901bbe1ade762cbbc2d

Zobrazit plný text záznamu

Akademický článek

Impact of oral microbiota on radiation-induced oral mucositis: A single-arm prospective study

Autor: LU Zhiyuan, XU Yimin, ZHOU Mengyuan, LU Yang, WEI Zhihao, XIAO Can

Publikováno v: Kouqiang yixue, Vol 44, Iss 8, Pp 596-601 (2024)

Objective To investigate dynamic shifts in the oral microbiota and their association with the progression and aggravation of radiotherapy-induced oral mucositis(RIOM) in patients with head and neck malignancies undergoing radiotherapy. Methods Based

Externí odkaz: https://doaj.org/article/d3257e1126974c44b1e7a395c206be7c

Zobrazit plný text záznamu

Report

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks

Autor: Zhang, Zeyu, Li, Lu, Wan, Shuyan, Wang, Sijie, Wang, Zhiyi, Lu, Zhiyuan, Hao, Dong, Li, Wanli

The paper discusses signed graphs, which model friendly or antagonistic relationships using edges marked with positive or negative signs, focusing on the task of link sign prediction. While Signed Graph Neural Networks (SGNNs) have advanced, they fac

Externí odkaz: http://arxiv.org/abs/2409.19620

Zobrazit plný text záznamu

Report

Angle-Aware Coverage with Camera Rotational Motion Control

Autor: Lu, Zhiyuan, Hanif, Muhammad, Shimizu, Takumi, Hatanaka, Takeshi

This paper presents a novel control strategy for drone networks to improve the quality of 3D structures reconstructed from aerial images by drones. Unlike the existing coverage control strategies for this purpose, our proposed approach simultaneously

Externí odkaz: http://arxiv.org/abs/2404.13915

Zobrazit plný text záznamu

Report

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Autor: Miao, Siqi, Lu, Zhiyuan, Liu, Mia, Duarte, Javier, Li, Pan

This study introduces a novel transformer model optimized for large-scale point cloud processing in scientific domains such as high-energy physics (HEP) and astrophysics. Addressing the limitations of graph neural networks and standard transformers,

Externí odkaz: http://arxiv.org/abs/2402.12535

Zobrazit plný text záznamu

Report

Towards Graph Foundation Models: A Survey and Beyond

Autor: Liu, Jiawei, Yang, Cheng, Lu, Zhiyuan, Chen, Junze, Li, Yibo, Zhang, Mengmei, Bai, Ting, Fang, Yuan, Sun, Lichao, Yu, Philip S., Shi, Chuan

Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other domains. Meanwhile, the field of graph machine learning is w

Externí odkaz: http://arxiv.org/abs/2310.11829

Zobrazit plný text záznamu

Report

Data-centric Graph Learning: A Survey

Autor: Guo, Yuxin, Bo, Deyu, Yang, Cheng, Lu, Zhiyuan, Zhang, Zhongjian, Liu, Jixi, Peng, Yufei, Shi, Chuan

The history of artificial intelligence (AI) has witnessed the significant impact of high-quality data on various deep learning models, such as ImageNet for AlexNet and ResNet. Recently, instead of designing more complex neural architectures as model-

Externí odkaz: http://arxiv.org/abs/2310.04987

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání