Hourly rainfall forecast model using supervised learning algorithm
Q Zhao, Y Liu, W Yao, Y Yao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Previous studies on short-term rainfall forecast using precipitable water vapor (PWV) and
meteorological parameters mainly focus on rain occurrence, while the rainfall forecast is …
meteorological parameters mainly focus on rain occurrence, while the rainfall forecast is …
[HTML][HTML] IResponse: An AI and IoT-enabled framework for autonomous COVID-19 pandemic management
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 …
sustainability of our planet, causing infections and deaths (2,674,151 deaths, as of 17 March …
Improving formal verification and testing techniques for internet of things and smart cities
M Krichen - Mobile networks and applications, 2023 - Springer
We are interested in formal verification and model-based testing for Internet of Things and
Smart Cities. In general these two techniques suffer from state explosion problem. To …
Smart Cities. In general these two techniques suffer from state explosion problem. To …
A comparative study of ensemble models for predicting road traffic congestion
Increased road traffic congestion is due to different factors, such as population and
economic growth, in different cities globally. On the other hand, many households afford …
economic growth, in different cities globally. On the other hand, many households afford …
TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …
society, and economy, caused due to road accidents, traffic congestion, and other …
Advent of Big Data in Urban Transportation for Smart Cities: Current Progress, Trends, and Future Challenges
The application of big data in urban transportation and development of smart cities has been
attracting global interest. The overburdened transport infrastructure due to rapid …
attracting global interest. The overburdened transport infrastructure due to rapid …
An interactive web application for decision tree learning
Decision tree learning offers an intuitive and straightforward introduction to machine
learning techniques, especially when students are used to program imperative code. Most …
learning techniques, especially when students are used to program imperative code. Most …
Identification of the framingham risk score by an entropy-based rule model for cardiovascular disease
YS Chen, CH Cheng, SF Chen, JY Jhuang - Entropy, 2020 - mdpi.com
Since 2001, cardiovascular disease (CVD) has had the second-highest mortality rate, about
15,700 people per year, in Taiwan. It has thus imposed a substantial burden on medical …
15,700 people per year, in Taiwan. It has thus imposed a substantial burden on medical …
Arabic Text Mining
SM Al-Ghuribi, SAM Noah - arXiv preprint arXiv:2211.02772, 2022 - arxiv.org
The rapid growth of the internet has increased the number of online texts. This led to the
rapid growth of the number of online texts in the Arabic language. The enormous amount of …
rapid growth of the number of online texts in the Arabic language. The enormous amount of …
Identification of people with diabetes treatment through lipids profile using machine learning algorithms
Diabetes incidence has been a problem, because according with the World Health
Organization and the International Diabetes Federation, the number of people with this …
Organization and the International Diabetes Federation, the number of people with this …