Anomaly Detection in Kuwait Construction Market Data Using Autoencoder Neural Networks
Basma Al-Sabah,
Gholamreza Anbarjafari
Abstract:In the ambitiously evolving construction industry of Kuwait, characterized by its vision 2035 and rapid technological integration, there exists a pressing need for advanced analytical frameworks. This research paper introduces a groundbreaking deep learning approach utilising an autoencoder neural network to analyse the complexities of the Kuwait Construction Market and identify data irregularities. The construction sector’s significant investment influx and project expansion make it an ideal candidate for dep… Show more
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