A file explorer for data warehouses
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Updated
Dec 29, 2023 - TypeScript
A file explorer for data warehouses
List of multi-view fusion learning models proposed for remote sensing (RS) multi-view data. Extension from our JSTAR paper.
A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
CDFF-Dev provides tools to develop, test, visualize, and perform analysis on data fusion products. Forked from https://gitlab.com/h2020src/og3/cdff_dev, where issues and pull requests are processed.
STARS data fusion provides NDVI and albedo for input into ET algorithms
Code of the paper Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings
Plotting IAQ data obtained from a sample dataset generated by IoT sensors.
Smart Data Fusion for Traders & Investors
This application uses homography matrix, extracted from consecutive frames of a monocular camera, and fuses this data with input from an inertial measurement unit (IMU). This fusion is employed to accurately estimate positional changes.
Fokker Planck based Data Assimilation method using Fourier Neural Operators as integrator
An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".
Deep learning and satellite data fusion for semantic segmentation of artisanal mining in the DRC
An R package for auxiliary information-assisted estimation and inference for survival analysis with both low and high dimensional covariates.
Repository with basic information about Rank Aggregation Problem.
Data Fusion course at University of Esslingen
List of remote sensing (RS) multi-view datasets for exploring multi-view fusion learning. Extension from our JSTAR paper.
A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.
Undergraduate Final Project (needs README up to date!!) - Scientific paper soon to be included
Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour
Modularity-based graph population integration
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