3 citations · 6 across the 15 of their papers we have counts for
15 papers
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
Osama Ahmad, Zubair Khalid, Muhammad Tahir +1
Monitoring air pollution is crucial for protecting human health from exposure to harmful substances. Traditional methods of air quality monitoring, such as ground-based sensors and…
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction
Muhammad Ahmad Waseem, Muhammad Tahir, Zubair Khalid +1
This paper considers the problem of extracting building footprints from satellite imagery -- a task that is critical for many urban planning and decision-making applications. While…
Logistics Hub Location Optimization: A K-Means and P-Median Model Hybrid Approach Using Road Network Distances
Muhammad Abdul Rahman, Muhammad Aamir Basheer, Zubair Khalid +2
Logistic hubs play a pivotal role in the last-mile delivery distance; even a slight increment in distance negatively impacts the business of the e-commerce industry while also incr…
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
Muhammad Abdul Rahman, Muhammad Ahmad Waseem, Zubair Khalid +2
Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population dens…
EMORF/S: EM-Based Outlier-Robust Filtering and Smoothing With Correlated Measurement Noise
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated. Outliers in data arise due to many reasons like sensor ma…
STEF-DHNet: Spatiotemporal External Factors Based Deep Hybrid Network for Enhanced Long-Term Taxi Demand Prediction
Sheraz Hassan, Muhammad Tahir, Momin Uppal +3
Accurately predicting the demand for ride-hailing services can result in significant benefits such as more effective surge pricing strategies, improved driver positioning, and enha…
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan +4
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management. The application of optical and SAR imagery in tandem provid…
Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
Usman Nazir, Momin Uppal, Muhammad Tahir +1
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed…
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
Usman Nazir, Murtaza Taj, Momin Uppal +1
Industrial air pollution has a direct health impact and is a major contributor to climate change. Small scale industries particularly bull-trench brick kilns are one of the key sou…
Bayesian Heuristics for Robust Spatial Perception
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
Spatial perception is a key task in several machine intelligence applications such as robotics and computer vision. In general, it involves the nonlinear estimation of hidden varia…
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
Shoaib Imran, Muhammad Tahir, Zubair Khalid +1
Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking. While Robust Prin…
Decision-Feedback Detection for Bidirectional Molecular Relaying with Direct Links
Maryam Khalid, Momin Uppal
In this paper, we consider bidirectional relaying between two diffusion-based molecular transceivers (bio-nodes). As opposed to existing literature, we incorporate the effect of di…
Variational-Based Nonlinear Bayesian Filtering with Biased Observations
Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir +1
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the stan…
Outlier-Robust Filtering For Nonlinear Systems With Selective Observations Rejection
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
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. The propo…
Identification and Quantification of Aerosol Hot-spots over Lahore Region using MODIS Data
Safa~Ashraf, Zubair Khalid, Muhammad Tahir +1
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, environ…