Zobrazeno 1 - 10
of 1 532
pro vyhledávání: '"ZHANG Ziqi"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
A YOLOv5-based YOLOv5-KE unmanned aerial vehicle (UAV) image detection algorithm is proposed to address the low detection accuracy caused by the small size, high density, and overlapping leaves of Ambrosia trifida targets in UAV images. The YOLOv5-KE
Externí odkaz:
https://doaj.org/article/41054c36fd264486b37e5ef2581441db
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 12, Pp 47-58 (2023)
With the continuous research on the basic theory and application technology of photocatalysis, certain progress has been made in the understanding of the preparation, performance mechanism and application aspects of new photocatalysts driven by visib
Externí odkaz:
https://doaj.org/article/99b5b1f3da864dbfa96cc7f2ec755c82
Publikováno v:
High Temperature Materials and Processes, Vol 42, Iss 1, Pp pp. 316-332 (2023)
In view of the multi-physical field coupling and time-varying characteristics of the microwave heating medium process, how to dynamically plan the state characteristics of multiple microwave sources and optimize the material temperature uniformity be
Externí odkaz:
https://doaj.org/article/6db2077dcb144646aa31776c9396ee5b
Autor:
Xu, Jingzehua, Xie, Guanwen, Zhang, Ziqi, Hou, Xiangwang, Ma, Dongfang, Zhang, Shuai, Ren, Yong, Niyato, Dusit
Publikováno v:
IEEE Transactions on Mobile Computing 2025
It is significant to employ multiple autonomous underwater vehicles (AUVs) to execute the underwater target tracking task collaboratively. However, it's pretty challenging to meet various prerequisites utilizing traditional control methods. Therefore
Externí odkaz:
http://arxiv.org/abs/2412.03959
This paper addresses key challenges in enhancing recommendation systems by leveraging Graph Neural Networks (GNNs) and addressing inherent limitations such as over-smoothing, which reduces model effectiveness as network hierarchy deepens. The propose
Externí odkaz:
http://arxiv.org/abs/2412.03097
This study proposes an automated data mining framework based on autoencoders and experimentally verifies its effectiveness in feature extraction and data dimensionality reduction. Through the encoding-decoding structure, the autoencoder can capture t
Externí odkaz:
http://arxiv.org/abs/2412.02211
Autor:
Hu, Huiyang, Wang, Peijin, Bi, Hanbo, Tong, Boyuan, Wang, Zhaozhi, Diao, Wenhui, Chang, Hao, Feng, Yingchao, Zhang, Ziqi, Ye, Qixiang, Fu, Kun, Sun, Xian
Remote sensing foundation models largely break away from the traditional paradigm of designing task-specific models, offering greater scalability across multiple tasks. However, they face challenges such as low computational efficiency and limited in
Externí odkaz:
http://arxiv.org/abs/2411.17984
Autor:
Zhang, Tao, Zhang, Ziqi, Ma, Zongyang, Chen, Yuxin, Qi, Zhongang, Yuan, Chunfeng, Li, Bing, Pu, Junfu, Zhao, Yuxuan, Xie, Zehua, Ma, Jin, Shan, Ying, Hu, Weiming
Advanced Multimodal Large Language Models (MLLMs) struggle with recent Knowledge-based VQA tasks, such as INFOSEEK and Encyclopedic-VQA, due to their limited and frozen knowledge scope, often leading to ambiguous and inaccurate responses. Thus, multi
Externí odkaz:
http://arxiv.org/abs/2411.15041
Trusted Execution Environments (TEE) are used to safeguard on-device models. However, directly employing TEEs to secure the entire DNN model is challenging due to the limited computational speed. Utilizing GPU can accelerate DNN's computation speed b
Externí odkaz:
http://arxiv.org/abs/2411.09945
Autor:
Zhou, Ce, Yan, Qiben, Kent, Daniel, Wang, Guangjing, Ding, Weikang, Zhang, Ziqi, Radha, Hayder
Monocular Depth Estimation (MDE) is a pivotal component of vision-based Autonomous Driving (AD) systems, enabling vehicles to estimate the depth of surrounding objects using a single camera image. This estimation guides essential driving decisions, s
Externí odkaz:
http://arxiv.org/abs/2411.00192