Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Khalid Zubair"'
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39141- (2024)
In photovoltaics, perovskite solar cells (PSCs) have shown efficiency improvement with scalable and low-cost fabrication. This work investigates the additions of surfactants to PSCs during and after cell fabrication, and how these surfactants enhance
Externí odkaz:
https://doaj.org/article/917558918f764c45a697ace7fdb90102
Autor:
Faisal, Faizan, Khalid, Zubair
This paper explores a GIS-based application of the conditional p-median problem (where p = 1) in last-mile delivery logistics. The rapid growth of e-commerce in Pakistan has primarily benefited logistics companies, which face the challenge of resolvi
Externí odkaz:
http://arxiv.org/abs/2411.05851
Reanalysis data, such as ERA5, provide a comprehensive and detailed representation of the Earth's system by assimilating observations into climate models. While crucial for climate research, they pose significant challenges in terms of generation, st
Externí odkaz:
http://arxiv.org/abs/2410.08945
Autor:
Ahmad, Osama, Khalid, Zubair
This paper focuses on spatiotemporal (ST) traffic prediction using graph neural networks. Given that ST data consists of non-stationary and complex time events, interpreting and predicting such trends is comparatively complicated. Representation of S
Externí odkaz:
http://arxiv.org/abs/2408.16191
Autor:
Abdulah, Sameh, Baker, Allison H., Bosilca, George, Cao, Qinglei, Castruccio, Stefano, Genton, Marc G., Keyes, David E., Khalid, Zubair, Ltaief, Hatem, Song, Yan, Stenchikov, Georgiy L., Sun, Ying
We present the design and scalable implementation of an exascale climate emulator for addressing the escalating computational and storage requirements of high-resolution Earth System Model simulations. We utilize the spherical harmonic transform to s
Externí odkaz:
http://arxiv.org/abs/2408.04440
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 recent advancements in deep learning have made great strides in autom
Externí odkaz:
http://arxiv.org/abs/2311.02617
Earth system models (ESMs) are fundamental for understanding Earth's complex climate system. However, the computational demands and storage requirements of ESM simulations limit their utility. For the newly published CESM2-LENS2 data, which suffer fr
Externí odkaz:
http://arxiv.org/abs/2310.02216
Autor:
Rahman, Muhammad Abdul, Basheer, Muhammad Aamir, Khalid, Zubair, Tahir, Muhammad, Uppal, Momin
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 increasing its carbon footprint. The growth of this industry, particularly
Externí odkaz:
http://arxiv.org/abs/2308.11038
Autor:
Rahman, Muhammad Abdul, Waseem, Muhammad Ahmad, Khalid, Zubair, Tahir, Muhammad, Uppal, Momin
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. The current cutting-edge datasets offered by WorldPop
Externí odkaz:
http://arxiv.org/abs/2307.16084
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. By understanding the demand fluctuations, compa
Externí odkaz:
http://arxiv.org/abs/2306.14476