Results 1 to 10 of about 898,820 (259)

A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset

Sensors, 2023
Batch process monitoring datasets usually contain missing data, which decreases the performance of data-driven modeling for fault identification and optimal control. Many methods have been proposed to impute missing data; however, they do not fulfill the
Qihong Gan, Lang Gong, Dasha Hu, Yuming Jiang, Xuefeng Ding   +4 more
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Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data

Sensors, 2021
High-resolution automotive radar sensors play an increasing role in detection, classification and tracking of moving objects in traffic scenes. Clustering is frequently used to group detection points in this context.
Claudia Malzer, Marcus Baum
doaj   +1 more source

Mitigating GNSS Multipath Effects Using XGBoost Integrated Classifier Based on Consistency Checks

International Journal of Antennas and Propagation, 2022
Under the influence of urban building roads, especially interference from multipath effects, global navigation satellite system (GNSS) receiver-related output signal distortion can affect the robustness of the positioning system and the final positioning
Dengao Li, Xiaoli Ma, Jumin Zhao, Fanming Wu   +3 more
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A Study on the Influence of Different Flue Gas Components on Supersaturated Environment Characteristics in a Multisection Growth Tube

Atmosphere, 2023
In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu, Shijie Gu, Chengwei Xu, Chao Fu, Meiling Hou, Tingting Nie, Yincui Hu   +6 more
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A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender, D. Bender, M. Schikora, M. Schikora, J. Sturm, D. Cremers   +5 more
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Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Here, we demonstrate how deep neural network (DNN) detections of multiple constitutive or component objects that are part of a larger, more complex, and encompassing feature can be spatially fused to improve the search, detection, and retrieval (ranking)
Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson   +4 more
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The Spatiotemporal Data Fusion (STDF) Approach: IoT-Based Data Fusion Using Big Data Analytics

Sensors, 2021
Enormous heterogeneous sensory data are generated in the Internet of Things (IoT) for various applications. These big data are characterized by additional features related to IoT, including trustworthiness, timing and spatial features.
Dina Fawzy, Sherin Moussa, Nagwa Badr
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Advantages and Challenges of Information Fusion Technique for Big Data Analysis: Proposed Framework

Journal of Biostatistics and Epidemiology, 2021
Introduction: Recently, with the surge in the availability of relevant data in various industries, the use of Information Fusion technique for data analysis is increasing.
Elham Nazari, Rizwana Biviji, Amir Hossein Farzin, Parnian Asgari, Hamed Tabesh   +4 more
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Data Integration and Analysis System (DIAS) as a platform for data and model integration: Cases in the field of water resources management and disaster risk reduction

Data Science Journal, 2018
The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems.
Akiyuki Kawasaki, Petra Koudelova, Katsunori Tamakawa, Asanobu Kitamoto, Eiji Ikoma, Koji Ikeuchi, Ryosuke Shibasaki, Masaru Kitsuregawa, Toshio Koike   +8 more
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A new pattern to quantitatively evaluate the value of ecosystem services in the large-scale open-pit coal mining area

Frontiers in Ecology and Evolution, 2023
IntroductionOpen-pit coal mining could disrupt the ecosystem and lead to the loss of service values for the ecosystem through direct occupation or indirect impacts on adjacent ecosystems.MethodsIn this research, we combined a new accounting system, gross
Jieqing Shi, Dengao Li, Dengao Li, Dengao Li, Chaoyong Shen, Jing Yang, Fanming Wu   +6 more
doaj   +1 more source