Sadia Din
Biographic Data
| ID | 4983845 |
|---|---|
| NAME | Sadia Din |
| GIVEN NAMES | Sadia |
| FAMILY NAME | Din |
| SIGNATURE | DIN S |
| AFFILIATIONS | Yeungnam University |
| ORCID | 0000-0003-0921-4462 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks
Recurrent Neural Network and Reinforcement Learning Model for Covid-19 Prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes of such a pandemic. Recently, deep learning-based approaches have proven a novel opportunity to determine various difficulties in prediction. In this work, two learning algorithms, namely deep learnin…
A deep learning-based social distance monitoring framework for Covid-19
Retracted
No prominent works on this page.
Retracted
Recurrent Neural Network and Reinforcement Learning Model for Covid-19 Prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes of such a pandemic. Recently, deep learning-based approaches have proven a novel opportunity to determine various difficulties in prediction. In this work, two learning algorithms, namely deep learnin…
A deep learning-based social distance monitoring framework for Covid-19
Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks
Computer Science (4 works) · Medicine (3 works) · Anomaly Detection Techniques and Applications (2 works) · Artificial Intelligence (2 works) · Computer network (2 works) · COVID-19 diagnosis using AI (2 works) · Engineering (2 works) · Machine learning (2 works) · Wireless sensor network (2 works) · Artificial neural network (1 work)