A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
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Updated
Jun 17, 2024 - Jupyter Notebook
A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
Deep learning and satellite data fusion for semantic segmentation of ASM sites in the DRC
Fokker Planck based Data Assimilation method using Fourier Neural Operators as integrator
An R package for aggregate information fusion-assisted estimation and inference for both low and high dimensional Cox proportional hazards models.
Collaborative Highway Asset Research: Integrated Sensor-Modeling Application (CHARISMA) is a collaborative platform collaborative analysis and visualization of NDE and other infrastructure data and for the fusion of sensor data with digital twin models.
FVessel: Benchmark Dataset for Vessel Detection, Tracking, and Data Fusion
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
Code for TGRS 2022 paper "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images"
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
Multi-view hierarchical clustering in R
List of multi-view fusion learning models proposed for remote sensing (RS) multi-view data. Extension from our JSTAR paper.
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.
Experiments for online learning and data assimilation for time series data.
Code associated to the paper "Estimation of dynamic Origin-Destination matrices in a railway transportation network integrating ticket sales and passenger count data"
A file explorer for data warehouses
Plotting IAQ data obtained from a sample dataset generated by IoT sensors.
scikit-fusion: Data fusion via collective latent factor models
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