Results 281 to 290 of about 10,948,776 (338)
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IEEE Geoscience and Remote Sensing Magazine, 2023
Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction ...
Gui Gao +4 more
semanticscholar +1 more source
Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction ...
Gui Gao +4 more
semanticscholar +1 more source
Measurement science and technology, 2023
Similarity has been extensively utilized to measure the degree of conflicts between evidences in multisource information fusion. The existent works, however, assumed that the contribution of each focal element’s belief to the similarity measure is the ...
Rui-Shi Yang, Haibin Li, Hongbo Huang
semanticscholar +1 more source
Similarity has been extensively utilized to measure the degree of conflicts between evidences in multisource information fusion. The existent works, however, assumed that the contribution of each focal element’s belief to the similarity measure is the ...
Rui-Shi Yang, Haibin Li, Hongbo Huang
semanticscholar +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2023
Complex evidence theory (CET) is an effective method for uncertainty reasoning in knowledge-based systems with good interpretability that has recently attracted much attention.
Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
semanticscholar +1 more source
Complex evidence theory (CET) is an effective method for uncertainty reasoning in knowledge-based systems with good interpretability that has recently attracted much attention.
Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
semanticscholar +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
In artificial intelligence systems, a question on how to express the uncertainty in knowledge remains an open issue. The negation scheme provides a new perspective to solve this issue.
Fuyuan Xiao, W. Pedrycz
semanticscholar +1 more source
In artificial intelligence systems, a question on how to express the uncertainty in knowledge remains an open issue. The negation scheme provides a new perspective to solve this issue.
Fuyuan Xiao, W. Pedrycz
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2021
Radar and camera information fusion sensing methods are used to solve the inherent shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the main hardware and camera as the auxiliary hardware framework.
Ze Liu +6 more
semanticscholar +1 more source
Radar and camera information fusion sensing methods are used to solve the inherent shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the main hardware and camera as the auxiliary hardware framework.
Ze Liu +6 more
semanticscholar +1 more source
Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN
IEEE Transactions on Geoscience and Remote Sensing, 2021Joint use of multisensor information has attracted considerable attention in the remote sensing community. While applications in land-cover observation benefit from information diversity, multisensor integration technique is confronted with many ...
Mengmeng Zhang +4 more
semanticscholar +1 more source
2006
Special Issue on Logic-based information fusion in artificial ...
Gregoire, Eric, Konieczny, Sébastien
openaire +3 more sources
Special Issue on Logic-based information fusion in artificial ...
Gregoire, Eric, Konieczny, Sébastien
openaire +3 more sources
Bearing fault diagnosis method based on multi-source heterogeneous information fusion
Measurement science and technology, 2022Bearing fault diagnosis is a critical component of the mechanical equipment monitoring system. In the complex and harsh environment in which bearings operate, the fault diagnosis approach of multi-source information fusion can extract fault features more
Kecheng Zhang, Tianhao Gao, Huaitao Shi
semanticscholar +1 more source
Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting
IEEE Transactions on Smart Grid, 2021With the detailed load data provided by smart meter, the learning of electricity usage behavior for individual household short-term load forecasting has become a hot research topic.
Lianjie Jiang +5 more
semanticscholar +1 more source
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion
IEEE wireless communicationsRecently, semantic communication emerged as one of the enabling technologies for intelligent communications and multimodal information fusion plays an important role therein, where various sensors collect environment information to generate complementary
Xuewen Luo +5 more
semanticscholar +1 more source

