Results 1 to 10 of about 6,701,242 (221)

Multi-Source Data Repairing: A Comprehensive Survey

Mathematics, 2023
In the era of Big Data, integrating information from multiple sources has proven valuable in various fields. To ensure a high-quality supply of multi-source data, repairing different types of errors in the multi-source data becomes critical.
Chen Ye, Haoyang Duan, Hengtong Zhang, Hua Zhang, Hongzhi Wang, Guojun Dai   +5 more
doaj   +2 more sources

Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology [PDF]

Sensors
This paper presents a multi-source data-driven hybrid path planning framework that integrates global A* search with local Deep Q-Network (DQN) optimization to address complex terrestrial routing challenges.
Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao   +6 more
doaj   +2 more sources

Unsupervised Multi-source Domain Adaptation Without Access to Source Data [PDF]

Computer Vision and Pattern Recognition, 2021
Unsupervised Domain Adaptation (UDA) aims to learn a predictor model for an unlabeled domain by transferring knowledge from a separate labeled source domain.
Sk. Miraj Ahmed, Dripta S. Raychaudhuri, S. Paul, Samet Oymak, A. Roy-Chowdhury   +4 more
semanticscholar   +1 more source

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data [PDF]

International Conference on Software Engineering, 2023
The complexity and dynamism of microservices pose significant challenges to system reliability, and thereby, automated troubleshooting is crucial. Effective root cause localization after anomaly detection is crucial for ensuring the reliability of ...
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu   +4 more
semanticscholar   +1 more source

A SPATIOTEMPORAL FUSION NETWORK TO MULTI SOURCE HETEROGENEOUS DATA FOR LANDSLIDE RECOGNITION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
In recent years, the frequency of landslide disasters has been increasing year by year due to the extension of human activities to the natural environment. Fast and detailed landslide surveys are important for landslide disaster prediction and management.
B. Li, L. Han, L. Li
doaj   +1 more source

Preventing man-in-the-middle attacks in DNS through certificate less signature

网络与信息安全学报, 2021
Aiming at resisting the man-in-the-middle attacks in the domain name system protocol, a lightweight solution was proposed. The scheme introduced certificate less signature algorithm, removed the difficult-to-deploy trust chain to improve the efficiency ...
HU Yang, HAN Zengjie, YE Guohua, YAO Zhiqiang   +1 more
doaj   +1 more source

MULTI-LEVEL CITY PORTRAIT RESEARCH BASED ON MULTI-SOURCE DATA [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
City portrait is a social impression generated by the interaction between the public and the city, which can help us better understand and perceive the nature and characteristics of the city, and thus provide strong support for the development and ...
F. Zhuo, C. Jing, G. Xu, Y. Fu
doaj   +1 more source

Coastline Accuracy Assessment Developed By Using Multi Data Source

Journal of Applied Geospatial Information, 2023
Coastline Modeling Accuracy Assessment Developed By Using from Multi-Source Data. The coastal regions need to be developed because many big cities in Indonesia are located in these areas.
Nadya Oktaviani, Prayudha Hartanto, Ratna Sari Dewi, Danang Budi Susetyo, Sandi Aditya, Irmadi Nahib, Hollanda Arief Kusuma   +6 more
doaj   +1 more source

Multi-Source Data Analysis Challenges [PDF]

Proceedings Visualization '98 (Cat. No.98CB36276), 2005
The factors making multi-source data analysis pervasive in the near future are: ease and cost effectiveness of digital data acquisition; fidelity, detail and practicality of computational simulations; and networks that make data from many sources accessible to a single user or application.
Uselton, S, Ahrens, J, Bethel, W, Treinish, L, State, A   +4 more
openaire   +3 more sources

COMPARATIVE STUDY OF LUNAR ROUGHNESS FROM MULTI - SOURCE DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
The lunar terrain can show its collision and volcanic history. The lunar surface roughness can give a deep indication of the effects of lunar surface magma, sedimentation and uplift. This paper aims to get different information from the roughness through
Y. Lou, Z. Kang
doaj   +1 more source