Cybersecurity testing for automotive domain: A survey

F Luo, X Zhang, Z Yang, Y Jiang, J Wang, M Wu… - Sensors, 2022 - mdpi.com
Modern vehicles are more complex and interconnected than ever before, which also means
that attack surfaces for vehicles have increased significantly. Malicious cyberattacks will not …

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 …

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] Smart society and artificial intelligence: big data scheduling and the global standard method applied to smart maintenance

R Foresti, S Rossi, M Magnani, CGL Bianco… - Engineering, 2020 - Elsevier
The implementation of artificial intelligence (AI) in a smart society, in which the analysis of
human habits is mandatory, requires automated data scheduling and analysis using smart …

Hybrid statistical and machine learning methods for road traffic prediction: A review and tutorial

B Alsolami, R Mehmood, A Albeshri - Smart Infrastructure and Applications …, 2020 - Springer
Mobility is one of the major dimensions of smart city design and development.
Transportation analysis and prediction play important parts in mobility research and …

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 …

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 …

Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning

E Alomari, I Katib, R Mehmood - Mobile Networks and Applications, 2023 - Springer
Road transportation is the backbone of modern economies despite costing annually millions
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …

[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 …

LidSonic V2. 0: a LiDAR and deep-learning-based green assistive edge device to enhance mobility for the visually impaired

S Busaeed, I Katib, A Albeshri, JM Corchado… - Sensors, 2022 - mdpi.com
Over a billion people around the world are disabled, among whom 253 million are visually
impaired or blind, and this number is greatly increasing due to ageing, chronic diseases …