Imran Ashraf
Biographic Data
| ID | 7382319 |
|---|---|
| NAME | Imran Ashraf |
| GIVEN NAMES | Imran |
| FAMILY NAME | Ashraf |
| SIGNATURE | ASHRAF I |
| AFFILIATIONS | Yeungnam University |
| ORCID | 0000-0002-5632-5790 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Deep sequence learning with multi-task supervision for scalable population health monitoring
Models designed for artificial intelligence-driven population health monitoring must be able to integrate multiple types of information over time, be heterogeneous in the data they consider, and be deployed at scale. This research proposes an integrated multitask framework for predicting population disease incidence and mortality risk, based on deep learning and using both longitudinal biobank and National Health Survey data in a scalable manner.…
Designing an accessible and interactive shopping assistant using deep learning for visually impaired individuals in Pakistan
Shopping is an essential activity of everyday routine. It is an easy task for people without impairments; however, this remains a significant challenge for people with visual impairments. Currently, visually impaired people must rely on family members or store personnel to assist them while shopping. It is challenging for them to navigate stores independently. In this study, the development and technical evaluation of an assistive shopping system…
Exploring the nexus
Econometric analysis has long been integral to measuring sustainable environmental quality, with panel data methods, such as fixed and random effects models, becoming the focal point of modern research. Initially, such methods were used to simply investigate environmental issues, but recent years have seen a shift toward the study of random effects models, focusing on hypothesis testing and policy debates. However, several important aspects of th…
Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI
Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus. Monitoring fetal hea…
No safe place for war survivors
The present study explores the concept of reenactment of known and unknown war trauma that may be unfamiliar to the readers while also opening up new discourses of understanding and empathy through the lens of Cathy Caruth's trauma theory by focusing on the novel A Land of Permanent Goodbyes by Atia Abawi. War fiction, such as Abawi's novel, highlights the concept of psychological trauma as a double wound (known as "outsiders" and unknown as "ins…
Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks
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Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks
No safe place for war survivors
The present study explores the concept of reenactment of known and unknown war trauma that may be unfamiliar to the readers while also opening up new discourses of understanding and empathy through the lens of Cathy Caruth's trauma theory by focusing on the novel A Land of Permanent Goodbyes by Atia Abawi. War fiction, such as Abawi's novel, highlights the concept of psychological trauma as a double wound (known as "outsiders" and unknown as "ins…
Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI
Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is crucial for identifying and addressing potential risks and complications that may arise. Early detection of abnormalities and deviations in fetal health can facilitate timely interventions to mitigate risks and improve outcomes for the mother and fetus. Monitoring fetal hea…
Exploring the nexus
Econometric analysis has long been integral to measuring sustainable environmental quality, with panel data methods, such as fixed and random effects models, becoming the focal point of modern research. Initially, such methods were used to simply investigate environmental issues, but recent years have seen a shift toward the study of random effects models, focusing on hypothesis testing and policy debates. However, several important aspects of th…
Deep sequence learning with multi-task supervision for scalable population health monitoring
Models designed for artificial intelligence-driven population health monitoring must be able to integrate multiple types of information over time, be heterogeneous in the data they consider, and be deployed at scale. This research proposes an integrated multitask framework for predicting population disease incidence and mortality risk, based on deep learning and using both longitudinal biobank and National Health Survey data in a scalable manner.…
Designing an accessible and interactive shopping assistant using deep learning for visually impaired individuals in Pakistan
Shopping is an essential activity of everyday routine. It is an easy task for people without impairments; however, this remains a significant challenge for people with visual impairments. Currently, visually impaired people must rely on family members or store personnel to assist them while shopping. It is challenging for them to navigate stores independently. In this study, the development and technical evaluation of an assistive shopping system…
Artificial Intelligence in Healthcare (2 works) · Computer Science (2 works) · Deep learning (2 works) · Engineering (2 works) · Machine Learning in Healthcare (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Biobank (1 work) · Clinical Psychology (1 work)