no code implementations • 5 Nov 2023 • Muhammad Ahmad Waseem, Muhammad Tahir, Zubair Khalid, Momin Uppal
In addition, the TFNet design is coupled with a novel methodology of incorporating neighborhood information at the tile boundaries during the training process.
no code implementations • 18 Aug 2023 • Muhammad Abdul Rahman, Muhammad Aamir Basheer, Zubair Khalid, Muhammad Tahir, Momin Uppal
Initially, delivery points are clustered using K-Means in relation to their spatial locations.
no code implementations • 29 Jul 2023 • Muhammad Abdul Rahman, Muhammad Ahmad Waseem, Zubair Khalid, Muhammad Tahir, Momin Uppal
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.
no code implementations • 5 Jul 2023 • 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.
no code implementations • 26 Jun 2023 • Sheraz Hassan, Muhammad Tahir, Momin Uppal, Zubair Khalid, Ivan Gorban, Selim Turki
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.
no code implementations • 31 May 2023 • Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan, Rabia Saeed, Syed Muhammad Hasan, Momin Uppal, Zubair Khalid
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management.
no code implementations • 31 May 2023 • Usman Nazir, Momin Uppal, Muhammad Tahir, Zubair Khalid
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas.
no code implementations • 21 Mar 2023 • Usman Nazir, Murtaza Taj, Momin Uppal, Sara Khalid
Industrial air pollution has a direct health impact and is a major contributor to climate change.
no code implementations • 6 Nov 2022 • Shoaib Imran, Muhammad Tahir, Zubair Khalid, Momin Uppal
Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking.
no code implementations • 29 Dec 2021 • Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir, Momin Uppal
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications.
no code implementations • 10 Jun 2021 • 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.
no code implementations • 23 Oct 2020 • Safa~Ashraf, Zubair Khalid, Muhammad Tahir, Momin Uppal
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.