Application of MLOps in Prediction of Lifestyle Diseases

Reddy, Manjunatha; Dattaprakash, Brahmanand; Kammath, Sandesh S; Kn, Subramanya; Manokaran, S.

doi:10.1149/10701.1191ecst

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…Workflow management software (WfMS) such as Pegasus-WMS, Apache Airflow, Galaxy, Cylc and Geoweaver [ 437 ] and others are being developed to enable automation. These Workflow management software can increase the replicability and reproducibility of CAD discoveries by not only automating the procedure but also documenting the provenance [ 438 ].…”

Section: Workflowmentioning

confidence: 99%

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks

Iqbal

Qureshi

et al. 2023

Arch Computat Methods Eng

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Convolutional neural network (CNN) has shown dissuasive accomplishment on different areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information Retrieval, Medical Image Registration, Multi-lingual translation, Local language Processing, Anomaly Detection on video and Speech Recognition. CNN is a special type of Neural Network, which has compelling and effective learning ability to learn features at several steps during augmentation of the data. Recently, different interesting and inspiring ideas of Deep Learning (DL) such as different activation functions, hyperparameter optimization, regularization, momentum and loss functions has improved the performance, operation and execution of CNN Different internal architecture innovation of CNN and different representational style of CNN has significantly improved the performance. This survey focuses on internal taxonomy of deep learning, different models of vonvolutional neural network, especially depth and width of models and in addition CNN components, applications and current challenges of deep learning.

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Section: Workflowmentioning

confidence: 99%