Sidra Abbas
Dados Biográficos
| ID | 9441722 |
|---|---|
| NOME | Sidra Abbas |
| PRENOMES | Sidra |
| SOBRENOME | Abbas |
| ASSINATURA | ABBAS S |
| AFILIAÇÕES | COMSATS University Islamabad |
| ORCID | 0000-0002-8204-4896 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 3 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Machine Learning Assisted Cervical Cancer Detection
Cervical malignant growth is the fourth most typical reason for disease demise in women around the globe. Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer a preventable disease that results in minimizing the global burden of cervical cancer. In developing countries, women do not approach sufficient screening programs because of the costly procedures to undergo examination regularl…
Automated cognitive health assessment in smart homes using machine learning
Trustworthy Intrusion Detection in E-Healthcare Systems
In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenge…
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Machine Learning Assisted Cervical Cancer Detection
Cervical malignant growth is the fourth most typical reason for disease demise in women around the globe. Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer a preventable disease that results in minimizing the global burden of cervical cancer. In developing countries, women do not approach sufficient screening programs because of the costly procedures to undergo examination regularl…
Automated cognitive health assessment in smart homes using machine learning
Trustworthy Intrusion Detection in E-Healthcare Systems
In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenge…
Computer Science (3 obras) · Artificial Intelligence (2 obras) · IoT and Edge/Fog Computing (2 obras) · Machine learning (2 obras) · Medicine (2 obras) · Activities of daily living (1 obra) · AdaBoost (1 obra) · Adaptive neuro fuzzy inference system (1 obra) · Advanced Malware Detection Techniques (1 obra) · AI in cancer detection (1 obra)