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Education/Academic qualification
Recognised by Advance HE as a Fellow against Descriptor 2 of the UKPSF
Doctorate
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Dive into the research topics where Nada Philip is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A data analytics suite for exploratory predictive, and visual analysis of Type 2 Diabetes
Philip, N. Y., Razaak, M., Chang, J., M, S., O'Kane, M. & Pierscionek, B. K., 2022, In: IEEE Access. 10, p. 13460-13471Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Variational mode decomposition based retinal area detection and merging of superpixels in SLO image
Manikandan, S., Deepika, V. & Philip, N., 31 Aug 2021, In: Current Signal Transduction Therapy. 16, 2, p. 178-190Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Internet of Things for in-home health monitoring systems: current advances, challenges and future directions
Philip, N. Y., Rodrigues, J. J. P. C., Wang, H., Fong, S. J. & Chen, J., 28 Feb 2021, In: IEEE Journal on Selected Areas in Communications. 39, 2, p. 300-310Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Time series classification based correlational neural network with bidirectional LSTM for automated detection of kidney disease
Bhaskar, N., M, S. & Philip, N. Y., 15 Feb 2021, In: IEEE Sensors Journal. 21, 4, p. 4811-4818Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Classification of retinal lesions in fundus images using atrous convolutional neural network
Radha, Suchetha, Raman, R., Madhumitha, Meena, S., Sruthi & Philip, N., 6 Nov 2020.Research output: Contribution to conference › Paper › peer-review