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Found 13 papers, 2 papers with code
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction
In addition, the TFNet design is coupled with a novel methodology of incorporating neighborhood information at the tile boundaries during the training process.
Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
Initially, delivery points are clustered using K-Means in relation to their spatial locations.
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population density statistics.
EMORF/S: EM-Based Outlier-Robust Filtering and Smoothing With Correlated Measurement Noise
In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated.
STEF-DHNet: Spatiotemporal External Factors Based Deep Hybrid Network for Enhanced Long-Term Taxi Demand Prediction
Accurately predicting the demand for ride-hailing services can result in significant benefits such as more effective surge pricing strategies, improved driver positioning, and enhanced customer service.
Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas.
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking.
Variational-Based Nonlinear Bayesian Filtering with Biased Observations
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications.
Outlier-Robust Filtering For Nonlinear Systems With Selective Observations Rejection
Considering a common case where measurements are obtained from independent sensors, we present a novel outlier-robust filter for nonlinear dynamical systems in this work.
A Survey on Image Aesthetic Assessment
Automatic image aesthetics assessment is a computer vision problem dealing with categorizing images into different aesthetic levels.
Identification and Quantification of Aerosol Hot-spots over Lahore Region using MODIS Data
The increased concentration of aerosols in the air caused by ever-rising urbanization and the development of various industries has horrendous consequences on human health, environment and climate.
Image Colorization: A Survey and Dataset
Image colorization is the process of estimating RGB colors for grayscale images or video frames to improve their aesthetic and perceptual quality.
Deep localization of protein structures in fluorescence microscopy images
This study highlights the importance of deep learning for the analysis of fluorescence microscopy protein imagery.
