This repository provides a framework for predictive modeling of VNS (Vagus Nerve Stimulation) response using a Vector Quantized Variational Autoencoder (VQ-VAE) and an SVM classifier. It includes ...
Abstract: This paper, presented hybrid machine learning model using Linear Regression and Support Vector machine (SVM) to make real-time predictions about flight departure and arrival delays. The ...
Robust classification of primary brain tumor in Computer Tomography images using K-NN and linear SVM
Abstract: Computer Tomography (CT) Images are widely used in the intracranical hematoma and hemorrhage. In this paper we have developed a new approach for automatic classification of brain tumor in CT ...
We present an AI approach for fractional optical orbital angular momentum (OAM) mode recognition under atmospheric turbulence. The method consists of: ├── phase recovery/ │ ├── unet_ra.py # AttResUNet ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results