Abstract: This paper proposes a quantization-aware deep learning (DL)-based channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems under varying effective number of ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
TL;DR: We propose a method to build compact and fast 3D Gaussian feature fields by effectively compressing and sparsifying Gaussians, achieving competitive performance with significantly fewer ...
A production-ready, enterprise-grade vector database that runs entirely in the browser using WebGPU acceleration. Built for modern AI applications requiring high-performance semantic search, document ...
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