Efficiency Intensification of a Solar Structure and Comparison of PI Controller Based Converter Topologies using MATLAB SIMULINK

Kulkarni, Prasannati; Deshmukh, S.P.

doi:10.1109/inocon50539.2020.9298440

2020 IEEE International Conference for Innovation in Technology (INOCON) 2020

DOI: 10.1109/inocon50539.2020.9298440

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Efficiency Intensification of a Solar Structure and Comparison of PI Controller Based Converter Topologies using MATLAB SIMULINK

Prasannati Kulkarni¹,

S.P. Deshmukh

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2023

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Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

Sharma,

Kaushal,

Dogra

et al. 2023

Metaverse Applications for Intelligent Healthcare

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A significant complication of diabetes mellitus, diabetic foot ulcers (DFUs), can have devastating repercussions if they are not identified and treated right away. Machine learning algorithms have gained more attention recently for their potential to anticipate DFUs before they manifest, enabling early management and preventing consequences. In this chapter, the authors examine how convolutional neural networks (CNNs) can be used to forecast DFUs. The performance of DenseNet, EfficientNet, and a regular CNN are specifically compared. With labels identifying the presence or absence of a DFU, the authors use a dataset of medical photographs of diabetic feet to train each model. The objective is to assess the effectiveness of these models and look at how each layer affects the precision of the predictions. The authors also hope to provide some light on how the algorithms are able to pinpoint foot regions that are most likely to get DFUs. They also look into how each CNN model's different layers affect prediction accuracy.

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Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

Sharma,

Kaushal,

Dogra

et al. 2023

Metaverse Applications for Intelligent Healthcare

View full text Add to dashboard Cite

show abstract

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Efficiency Intensification of a Solar Structure and Comparison of PI Controller Based Converter Topologies using MATLAB SIMULINK

Cited by 1 publication

References 8 publications

Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

Deep Learning Perspectives for Prediction of Diabetic Foot Ulcers

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