Mohammad Mehedy Masud
Biographic Data
| ID | 7855130 |
|---|---|
| NAME | Mohammad Mehedy Masud |
| GIVEN NAMES | Mohammad Mehedy |
| FAMILY NAME | Masud |
| SIGNATURE | MASUD M M |
| AFFILIATIONS | United Arab Emirates University |
| ORCID | 0000-0002-5274-5982 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Infant Low Birth Weight Prediction Using Graph Embedding Features
Low Birth weight (LBW) infants pose a serious public health concern worldwide in both the short and long term for infants and their mothers. Infant weight prediction prior to birth can help to identify risk factors and reduce the risk of infant morbidity and mortality. Although many Machine Learning (ML) algorithms have been proposed for LBW prediction using maternal features and produced considerable model performance, their performance needs to…
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
Infant Low Birth Weight Prediction Using Graph Embedding Features
Low Birth weight (LBW) infants pose a serious public health concern worldwide in both the short and long term for infants and their mothers. Infant weight prediction prior to birth can help to identify risk factors and reduce the risk of infant morbidity and mortality. Although many Machine Learning (ML) algorithms have been proposed for LBW prediction using maternal features and produced considerable model performance, their performance needs to…
Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Machine learning (2 works) · Advanced Malware Detection Techniques (1 work) · Artificial neural network (1 work) · Embedding (1 work) · Gestational Diabetes Research and Management (1 work) · Graph (1 work) · Graph embedding (1 work)