Results 11 to 20 of about 509,921 (183)
Forest Types Classification Based on Multi-Source Data Fusion [PDF]
Remote Sensing, 2017 Forest plays an important role in global carbon, hydrological and atmospheric cycles and provides a wide range of valuable ecosystem services. Timely and accurate forest-type mapping is an essential topic for forest resource inventory supporting forest ...
Ming Lu +8 more
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Multi-Source Data Fusion-Based Grid-Level Load Forecasting
Applied SciencesThis paper introduces a novel weighted fusion methodology for grid-level short-term load forecasting that addresses the critical limitations of direct aggregation methods currently used by regional dispatch centers.
Hai Ye +5 more
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Multi-source remote sensing data fusion: status and trends [PDF]
International Journal of Image and Data Fusion, 2010 With the fast development of remote sensor technologies, e.g. the appearance of Very High Resolution (VHR) optical sensors, SAR, LiDAR, etc., mounted on either airborne or spaceborne platforms, multi-source remote sensing data fusion techniques are emerging due to the demand for new methods and algorithms.
exaly +2 more sources
Multi-Source Data Fusion for Vehicle Maintenance Project Prediction
Future InternetEnsuring road safety is heavily reliant on the effective maintenance of vehicles. Accurate predictions of maintenance requirements can substantially reduce ownership costs for vehicle owners.
Fanghua Chen +4 more
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House Price Prediction: A Multi-Source Data Fusion Perspective
Big Data Mining and AnalyticsHouse price prediction is of utmost importance in forecasting residential property prices, particularly as the demand for high-quality housing continues to rise.
Yaping Zhao, Jichang Zhao, Edmund Y. Lam
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Advances in Multi-Source Navigation Data Fusion Processing Methods
MathematicsIn recent years, the field of multi-source navigation data fusion has witnessed substantial advancements, propelled by the rapid development of multi-sensor technologies, Artificial Intelligence (AI) algorithms and enhanced computational capabilities. On
Xiaping Ma, Peimin Zhou, Xiaoxing He
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Tourism Information Data Processing Method Based on Multi‐Source Data Fusion [PDF]
Journal of Sensors, 2021 Urban social civilization and the quality of life of residents are gradually improved, and the development scale and trend of the leisure tourism industry have been growing. This paper constructs a multi‐source data fusion model based on an ensemble learning algorithm, uses Ctrip 2020 open data set to train the model, and then obtains the tourism ...
YaoGuang Li, HeChi Gan
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Multi-source relational data fusion [PDF]
SCIENTIA SINICA Informationis, 2020 Focusing on the problem of relational data fusion in the environment with “information isolated island”, this paper presents a multi-sources relational data fusion (MSF) framework. The framework consists of three components: schema matching, entity alignment, and entity fusion.
Yue DING +4 more
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Multi-source data fusion study in scientometrics [PDF]
Scientometrics, 2017 This paper provides an introduction to multi-source data fusion (MSDF) and comprehensively overviews the ingredients and challenges of MSDF in scientometrics. As compared to the MSDF methods in the sensor and other fields, and considering the features of scientometrics, in this paper an application model and procedure of MSDF in scientometrics are ...
Hai-Yun Xu +5 more
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Sensors, 2022 Multi-source information fusion technology is a kind of information processing technology which comprehensively processes and utilizes multi-source uncertain information.
Chaoyue Guo, Qiuzhi Song, Yali Liu
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