[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey

Y Song, FR Yu, L Zhou, X Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Logistics is a driver of countries' and firms' competitiveness and plays a vital role in
economic growth. However, the current logistics industry still faces high costs and low …

[HTML][HTML] 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 …

UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities

T Muhammed, R Mehmood, A Albeshri, I Katib - IEEE Access, 2018 - ieeexplore.ieee.org
Smart city advancements are driving massive transformations of healthcare, the largest
global industry. The drivers include increasing demands for ubiquitous, preventive, and …

A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter

U Naseem, I Razzak, PW Eklund - Multimedia Tools and Applications, 2021 - Springer
Pre-processing plays an essential role in disambiguating the meaning of short-texts, not only
in applications that classify short-texts but also for clustering and anomaly detection. Pre …

[HTML][HTML] COVID-19: Detecting government pandemic measures and public concerns from Twitter arabic data using distributed machine learning

E Alomari, I Katib, A Albeshri, R Mehmood - International journal of …, 2021 - mdpi.com
Today's societies are connected to a level that has never been seen before. The COVID-19
pandemic has exposed the vulnerabilities of such an unprecedently connected world. As of …

[HTML][HTML] Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning

S Alotaibi, R Mehmood, I Katib, O Rana, A Albeshri - Applied Sciences, 2020 - mdpi.com
Smartness, which underpins smart cities and societies, is defined by our ability to engage
with our environments, analyze them, and make decisions, all in a timely manner …

[HTML][HTML] Musawah: a data-driven ai approach and tool to co-create healthcare services with a case study on cancer disease in Saudi Arabia

N Alahmari, S Alswedani, A Alzahrani, I Katib… - Sustainability, 2022 - mdpi.com
The sustainability of human existence is in dire danger and this threat applies to our
environment, societies, and economies. Smartization of cities and societies has the potential …

[HTML][HTML] Iktishaf+: a big data tool with automatic labeling for road traffic social sensing and event detection using distributed machine learning

E Alomari, I Katib, A Albeshri, T Yigitcanlar… - Sensors, 2021 - mdpi.com
Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …