Saleh Albahli
Biographic Data
| ID | 9867571 |
|---|---|
| NAME | Saleh Albahli |
| GIVEN NAMES | Saleh |
| FAMILY NAME | Albahli |
| SIGNATURE | ALBAHLI S |
| AFFILIATIONS | Qassim University |
| ORCID | 0000-0001-6317-4313 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An equity-aware generative AI copilot for digital public health surveillance
Modern public health surveillance depends on multiple data streams, including routine case reporting, contextual regional indicators, environmental measurements, and digitally generated signals. In many operational settings, however, these inputs are analyzed through disconnected tools, leaving forecasting, outbreak flagging, fairness auditing, and interpretation weakly coordinated. To address this gap, this study develops an equity-aware multimo…
Deep learning techniques for detecting and recognizing face masks
The year 2020 brought many changes to the lives of people all over the world with the outbreak of COVID-19; we saw lockdowns for months and deaths of many individuals, which set the world economy back miles. As research was conducted to create vaccines and cures that would eradicate the virus, precautionary measures were imposed on people to help reduce the spread the disease. These measures included washing of hands, appropriate distancing in so…
A Robust Framework for Epidemic Analysis, Prediction and Detection of Covid-19
Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and, particularly, the widespread disruption in numerous countries, namely, the US, Italy, India, Saudi Arabia. The timely detection of this infectious disease is mandatory to prevent the quick spread globally and locally. Moreover, the timely detection of COVID-19 in the coming time is significant to well cope with the disease control by Governments. The common sym…
Twitter sentiment analysis
The 21st century has seen a lot of innovations, among which included the advancement of social media platforms. These platforms brought about interactions between people and changed how news is transmitted, with people now able to voice their opinion as opposed to before where only the reporters were speaking. Social media has become the most influential source of speech freedom and emotions on their platforms. Anyone can express emotions using s…
No prominent works on this page.
Deep learning techniques for detecting and recognizing face masks
The year 2020 brought many changes to the lives of people all over the world with the outbreak of COVID-19; we saw lockdowns for months and deaths of many individuals, which set the world economy back miles. As research was conducted to create vaccines and cures that would eradicate the virus, precautionary measures were imposed on people to help reduce the spread the disease. These measures included washing of hands, appropriate distancing in so…
A Robust Framework for Epidemic Analysis, Prediction and Detection of Covid-19
Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and, particularly, the widespread disruption in numerous countries, namely, the US, Italy, India, Saudi Arabia. The timely detection of this infectious disease is mandatory to prevent the quick spread globally and locally. Moreover, the timely detection of COVID-19 in the coming time is significant to well cope with the disease control by Governments. The common sym…
Twitter sentiment analysis
The 21st century has seen a lot of innovations, among which included the advancement of social media platforms. These platforms brought about interactions between people and changed how news is transmitted, with people now able to voice their opinion as opposed to before where only the reporters were speaking. Social media has become the most influential source of speech freedom and emotions on their platforms. Anyone can express emotions using s…
An equity-aware generative AI copilot for digital public health surveillance
Modern public health surveillance depends on multiple data streams, including routine case reporting, contextual regional indicators, environmental measurements, and digitally generated signals. In many operational settings, however, these inputs are analyzed through disconnected tools, leaving forecasting, outbreak flagging, fairness auditing, and interpretation weakly coordinated. To address this gap, this study develops an equity-aware multimo…
Computer Science (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Disease (2 works) · Internet privacy (2 works) · 2019-20 coronavirus outbreak (1 work) · Advertising (1 work) · Anomaly Detection Techniques and Applications (1 work) · Arabic (1 work) · Business (1 work)