A Data Fusion Approach for Interpurchase Timing Models Using Incomplete Purchase Histories

SSRN Electronic Journal ◽

10.2139/ssrn.3803078 ◽

2021 ◽

Author(s):

Ryosuke Igari ◽

Takahiro Hoshino

Keyword(s):

Data Fusion ◽

Timing Models ◽

Fusion Approach

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Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

IET Intelligent Transport Systems ◽

10.1049/iet-its.2019.0784 ◽

2020 ◽

Vol 14 (11) ◽

pp. 1410-1417 ◽

Author(s):

Alfred Daniel ◽

Karthik Subburathinam ◽

Bala Anand Muthu ◽

Newlin Rajkumar ◽

Seifedine Kadry ◽

...

Keyword(s):

Data Fusion ◽

Object Detection ◽

Autonomous Vehicles ◽

Fusion Approach

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A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece

The Science of The Total Environment ◽

10.1016/j.scitotenv.2019.05.324 ◽

2019 ◽

Vol 684 ◽

pp. 155-163 ◽

Author(s):

Evangelos Anastasiou ◽

Annamaria Castrignanò ◽

Konstantinos Arvanitis ◽

Spyros Fountas

Keyword(s):

Data Fusion ◽

Temporal Variability ◽

Table Grape ◽

Use Case ◽

Source Data ◽

Fusion Approach

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A Neural Network-based Multisensor Data Fusion Approach for Enabling Situational Awareness of Vehicles

2020 International Conference on Pervasive Artificial Intelligence (ICPAI) ◽

10.1109/icpai51961.2020.00044 ◽

2020 ◽

Author(s):

Albert Budi Christian ◽

Chih-Yu Lin ◽

Cheng-Wei Lee ◽

Lan-Da Van ◽

Yu-Chee Tseng

Keyword(s):

Neural Network ◽

Data Fusion ◽

Situational Awareness ◽

Multisensor Data Fusion ◽

Fusion Approach ◽

Multisensor Data

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Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach

Information Fusion ◽

10.1016/j.inffus.2017.06.005 ◽

2018 ◽

Vol 40 ◽

pp. 34-44 ◽

Author(s):

Mingquan Wu ◽

Wenjiang Huang ◽

Zheng Niu ◽

Changyao Wang ◽

Wang Li ◽

...

Keyword(s):

Time Series ◽

Data Fusion ◽

Time Series Data ◽

Series Data ◽

Temporal Data ◽

Ndvi Time Series ◽

Fusion Approach

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A multisensor data fusion approach for the volcanic ash granulometry classification

IEEE SENSORS 2014 Proceedings ◽

10.1109/icsens.2014.6985438 ◽

2014 ◽

Author(s):

B. Ando ◽

S. Baglio ◽

V. Marletta

Keyword(s):

Data Fusion ◽

Volcanic Ash ◽

Multisensor Data Fusion ◽

Fusion Approach ◽

Multisensor Data

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A remote sensing data fusion approach to monitor agricultural areas

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170) ◽

10.1109/icpr.1998.711961 ◽

2002 ◽

Author(s):

S. Bouzidi ◽

J.-P. Berroir ◽

I. Herlin

Keyword(s):

Remote Sensing ◽

Data Fusion ◽

Remote Sensing Data ◽

Sensing Data ◽

Agricultural Areas ◽

Fusion Approach

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Data fusion approach to verifying handwritten signatures on bank checks

10.1117/12.339810 ◽

1999 ◽

Author(s):

D. J. Scott ◽

Otman A. Basir ◽

Khaled S. Hassanein ◽

John S. Zelek

Keyword(s):

Data Fusion ◽

Bank Checks ◽

Fusion Approach

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Disease outbreak detection and tracking for biosurveillance: a data fusion approach

10.1109/icif.2007.4408073 ◽

2007 ◽

Author(s):

Jason Blind ◽

Subrata Das

Keyword(s):

Data Fusion ◽

Disease Outbreak ◽

Outbreak Detection ◽

Detection And Tracking ◽

Disease Outbreak Detection ◽

Fusion Approach

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A data fusion approach to indications and warnings of terrorist attacks

10.1117/12.2050501 ◽

2014 ◽

Author(s):

David McDaniel ◽

Gregory Schaefer

Keyword(s):

Data Fusion ◽

Terrorist Attacks ◽

Fusion Approach

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Data fusion approach for Urban area identification using multisensor information

2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp) ◽

10.1109/multi-temp.2015.7245783 ◽

2015 ◽

Author(s):

Alejandra A. Lopez-Caloca

Keyword(s):

Data Fusion ◽

Fusion Approach

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