Multi-View Kernels for Low-Dimensional Modeling of Seismic Events
, 2017 The problem of learning from seismic recordings has been studied for years. There is a growing interest in developing automatic mechanisms for identifying the properties of a seismic event.
Averbuch, Amir +3 more
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Research progress of aircraft fault diagnosis method integrating multi-source heterogeneous data
Hangkong gongcheng jinzhanWith the improvement of the digitization degree of the aircraft，a large amount of multi-source and heterogeneous data will be generated throughout the full life-cycle of an aircraft，which plays a crucial role in ensuring its safety.
MA Chao +3 more
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Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data [PDF]
PeerJ Computer ScienceRice production is pivotal for ensuring global food security. In Pakistan, rice is not only the dominant Kharif crop but also a significant export commodity that significantly impacts the state’s economy. However, Pakistan faces challenges such as abrupt
Aqsa Aslam, Saima Farhan
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A multi-source data fusion method for distribution network based on improved evidence theory
Diance yu yibiaoIn response to the problem of unsatisfactory multi-source data fusion in distribution network is not ideal under the measurement uncertainty and no prior information request, this paper proposes a multi-source data fusion method based on improved ...
LOU Zheng +4 more
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Research on coal mine fusion monitoring system based on Internet of things
Gong-kuang zidonghua, 2019 According to multi-system fusion requirements of monitoring system in Technology Schemes of Upgrading of Coal Mine Safety Monitoring and Control System, a coal mine fusion monitoring system based on Internet of things was designed, and solutions for ...
HE Yaoyi, WANG Haibo
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4D Multi-atlas Label Fusion using Longitudinal Images
, 2017 Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability.
Huo, Yuankai +2 more
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Multi-Source Heterogeneous Data Fusion Method for IoT Terminals
International Journal of Information Technologies and Systems ApproachTo address the potential inaccuracies in multi-source heterogeneous data collected by Internet of Things terminals, this paper proposes a data fusion technique based on SOM-FCM Enhanced Bidirectional LSTM Sequence-to-Sequence Model. The proposed method first employs a two-layer clustering algorithm, self-organizing map-fuzzy clustering mean, to achieve
Juan Yu +4 more
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A multi-INT semantic reasoning framework for intelligence analysis support [PDF]
, 2010 Lockheed Martin Corp. has funded research to generate a framework and methodology for developing semantic reasoning applications to support the discipline oflntelligence Analysis. This chapter outlines that framework, discusses
Herbert, Basik +3 more
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Traffic control approach based on multi‐source data fusion
IET Intelligent Transport Systems, 2019 A multi‐source data‐driven traffic control approach is developed to alleviate traffic overload at bottleneck road segments. In the proposed approach, the high‐penetration feature of mobile‐phone signalling data and the real‐time feature of taxi global‐positioning‐system data are combined to simulate traffic flows in the road network of Shenzhen, a ...
Pu Wang +5 more
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Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion [PDF]
MATEC Web of ConferencesAutonomous obstacle avoidance for UAVs in complex environments is crucial, single sensors have limitations, and multi-source sensor fusion technology has received attention.
Fan Li
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