Items where Author is "Sulthana, Razia"
biomedical image segmentation
Ilango, Dhakshina and Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_51)
brain tumours
Ilango, Dhakshina and Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_51)
convolutional neural networks
Ilango, Dhakshina and Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_51)
damage
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
IGBT
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
logistic regression
Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_5)
machine learning
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
Ilango, Dhakshina and Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_51)
Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_5)
Naive bayes
Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_5)
neural network
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
physics-informed data
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
Power components
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
Power electronics module
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
reliability
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
security breach
Sulthana, Razia ORCID: https://orcid.org/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:10.1007/978-981-99-1624-5_5)
thermal fatigue
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)
Wire bonds
Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Sulthana, Razia
ORCID: https://orcid.org/0000-0001-5331-1310, Tilford, Tim
ORCID: https://orcid.org/0000-0001-8307-6403, Zhang, Xiaotian, Hu, Yihua, Yang, Xingyu, Shen, Yaochun and Wang, Yangang
(2025)
Modelling the fatigue damage in power components using machine learning technology.
Power Electronic Devices and Components, 10:100079.
ISSN 2772-3704 (Online)
(doi:10.1016/j.pedc.2025.100079)