Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective

T Yigitcanlar, L Butler, E Windle, KC Desouza… - Sensors, 2020 - mdpi.com
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …

Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture

S Usman, R Mehmood, I Katib, A Albeshri - Electronics, 2022 - mdpi.com
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments

N Janbi, I Katib, A Albeshri, R Mehmood - Sensors, 2020 - mdpi.com
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …

[HTML][HTML] IResponse: An AI and IoT-enabled framework for autonomous COVID-19 pandemic management

F Alam, A Almaghthawi, I Katib, A Albeshri… - Sustainability, 2021 - mdpi.com
SARS-CoV-2, a tiny virus, is severely affecting the social, economic, and environmental
sustainability of our planet, causing infections and deaths (2,674,151 deaths, as of 17 March …

Recent advances in smart cities and urban resilience and the need for resilient smart cities

A Sharifi, R Srivastava, N Singh, R Tomar… - Resilient Smart Cities …, 2022 - Springer
Cities around the world have traditionally dealt with a wide array of natural and human-
made risks and hazards. Annually, this results in significant human and economic losses in …

Rapid transit systems: smarter urban planning using big data, in-memory computing, deep learning, and GPUs

M Aqib, R Mehmood, A Alzahrani, I Katib, A Albeshri… - Sustainability, 2019 - mdpi.com
Rapid transit systems or metros are a popular choice for high-capacity public transport in
urban areas due to several advantages including safety, dependability, speed, cost, and …

Data-driven AI emergency planning in process industry

F Zhang, Q Qiao, J Wang, P Liu - Journal of loss prevention in the process …, 2022 - Elsevier
Whether it is through crisis mapping or event simulation, Artificial Intelligence (AI) is a
pioneering new method of emergency planning. It uses the analysis of information or data …

TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles

F Alam, R Mehmood, I Katib, SM Altowaijri… - Mobile Networks and …, 2023 - Springer
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …

A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making

C Galera-Zarco, G Floros - Annals of Operations Research, 2024 - Springer
Increasing levels of urbanisation and the rapid growth of modern cities require that particular
attention be paid to ensuring the safety and protection of living conditions for their …