Abstract: This study introduces a novel approach that combines a variational autoencoder and Bayesian optimization to accelerate the simultaneous parameter and topology optimization of interior ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...
Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...
Abstract: Accurate monitoring of key process variables is essential for biopharmaceutical manufacturing, but the direct measurements are often costly and involve substantial time delays. Data-driven ...
ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...
ABSTRACT: Gene expression is the process through which genetic information in DNA is converted into functional products, primarily proteins. This involves two main steps: transcription, where DNA is ...
Introduction: Over the past few decades, China has vigorously advanced its strategy to build a powerful transportation network, constructing and maintaining numerous slope engineering projects.
Then I click on Run in Google Colab. Then I click Runtime -> Run all. Then on the tensorboard page I don't see any "profile" tab. And if I select "Profile" from the dropdown on the right I get to a ...
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