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        <datestamp>2026-09-21T05:44:20Z</datestamp>
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          <dc:title>&lt;b&gt;Deep Hybrid Architecture for Stock Price Prediction&lt;/b&gt;</dc:title>
          <dc:creator>K. S. Vijaya Lakshmi (25080589)</dc:creator>
          <dc:subject>Deep learning</dc:subject>
          <dc:subject>Deep Learning Accurately</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This work proposes a high-performance stock price prediction system based on the application of advanced denoising techniques, feature selection techniques and hybrid deep learning models. The presented model utilizes 2LE-CEEMDAN, as an effective filter for noise removal, IDMO based feature selection for the selection of most informative predictor and a BiLSCondNet architecture for a precise pricing.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-21T05:44:20Z</dc:date>
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