Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...

Abstract: Convolutional Neural Networks (CNNs) are essential in AI for image tasks like facial recognition and object detection. While they improve accuracy, deploying them on hardware is challenging ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Abstract: Arrays with a reduced number of active elements have garnered considerable attention due to their potential to simplify phased arrays while preserving their operational versa-tility.