Multi-scale feature reconstruction network for industrial anomaly detection
Unsupervised anomaly detection techniques, which operate without prior knowledge of
anomalies, have garnered significant attention in industrial inspection due to their …
anomalies, have garnered significant attention in industrial inspection due to their …
Assessing and advancing the potential of quantum computing: A NASA case study
Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …
to revolutionize diverse areas of future-generation computational systems. While quantum …
AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems: Error_Detection, Correction, and Metadata Integration
W Elouataoui - arXiv preprint arXiv:2405.03870, 2024 - arxiv.org
The widespread adoption of big data has ushered in a new era of data-driven decision-
making, transforming numerous industries and sectors. However, the efficacy of these …
making, transforming numerous industries and sectors. However, the efficacy of these …
Continuous-variable Quantum Boltzmann Machine
We propose a continuous-variable quantum Boltzmann machine (CVQBM) using a powerful
energy-based neural network. It can be realized experimentally on a continuous-variable …
energy-based neural network. It can be realized experimentally on a continuous-variable …