Items where Greenwich Author is "Abdul Kareem, Razia Sulthana"
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Artificial Intelligence(AI); Trustworthy AI (TAI); eXplainable AI (XAI); autonomous vehicles, Healthcare, IoT
Chamola, Vinay, Hassija, Vikas, Sulthana Abdul Kareem, Razia
ORCID: 0000-0001-5331-1310
, Ghosh, Debshishu, Dhingra, Divyansh and Sikdar, Biplab
(2023)
A review of trustworthy and eXplainable Artificial Intelligence (XAI).
IEEE Access, 11.
78994 -79015.
ISSN 2169-3536 (Online)
(doi:https://doi.org/10.1109/ACCESS.2023.3294569)
Naive Bayes; decision trees; random forest; K-Nearest neighbours; backpropagation; DBScan, customer relationship management
A, Razia Sulthana
ORCID: 0000-0001-5331-1310
, Jaiswal, Anukriti, P, Supraja and L, SaiRamesh
(2023)
Customer segmentation using machine learning.
In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
IEEE, Piscataway, New Jersey.
ISBN 978-1665494014
(doi:https://doi.org/10.1109/ICAECT57570.2023.10117924)
heart disease; data mining; naive Bayes; decision trees; prediction
A, Razia Sulthana
ORCID: 0000-0001-5331-1310
, A K, Jaithunbi and P, Supraja
(2023)
Application of machine learning algorithms in predicting the heart disease in patients.
In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
IEEE, Piscataway, New Jersey.
ISBN 9781665494014
(doi:https://doi.org/10.1109/ICAECT57570.2023.10117653)
machine learning, biomedical image segmentation, brain tumours, convolutional neural networks
Ilango, Dhakshina and Sulthana, Razia
ORCID: 0000-0001-5331-1310
(2023)
Segmentation of brain tumours from MRI images using CNN.
In: Inventive Systems and Control Proceedings of ICISC 2023.
Lecture Notes in Networks and Systems, 672
.
Springer, pp. 693-706.
ISBN 9789819916238
ISSN 2367-3370 (Print), 2367-3389 (Online)
(doi:https://doi.org/10.1007/978-981-99-1624-5_51)
security breach, Naive bayes, logistic regression, machine learning
Sulthana, Razia
ORCID: 0000-0001-5331-1310
, Verma, Avani and Jaithunbi, A. K.
(2023)
A detailed analysis on spam emails and detection using machine learning algorithms.
In: Inventive Systems and Control Proceedings of ICISC 2023.
Lecture Notes in Networks and Systems, 672
.
Springer, pp. 65-76.
ISBN 9789819916238
ISSN 2367-3370 (Print), 2367-3389 (Online)
(doi:https://doi.org/10.1007/978-981-99-1624-5_5)