The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions. A four ...
TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach byTensor Flow - [Technical Documentation]@tensorflow byTensor Flow - [Technical ...
Abstract: Hyperspectral unmixing is significant for advancing remote sensing applications, aiming at extracting the spectra of pure materials (called endmembers) and obtaining their proportions ...
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 ...
Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
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 ...
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