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    Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

    Published 2024-12-01
    “…The versatility of this model is illustrated through its application to critical domains such as medical diagnosis, resource-constrained natural language processing, and financial forecasting—areas where data scarcity impedes the efficacy of traditional models. …”
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    Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics by Pankaj Lal Sahu, Sukumaran Sandeep, Hariprasad Kodamana

    Published 2025-06-01
    “…Abstract Machine Learning Weather Prediction (MLWP) models have recently demonstrated remarkable potential to rival physics‐based Numerical Weather Prediction (NWP) models, offering global weather forecasts at a fraction of the computational cost. However, thorough evaluations are essential before considering MLWP models as replacements for NWP models. …”
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    Fast Backpropagation Neural Network for VQ-Image Compression by Basil Mahmood, Omaima AL-Allaf

    Published 2004-05-01
    “…Artificial neural networks are becoming very attractive in image processing where high computational performance and parallel architectures are required.…”
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  9. 12629

    Design and Implementation of Distributed Real-time Security System via Mobile Technology by Dhuha Abdullah, Wael Mahmood

    Published 2013-07-01
    “…The real time system consists of three main parts, the first one is the computer with an electronic circuit connected via the serial port. …”
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    Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels by Yi Chen, Pengfei Xue

    Published 2025-06-01
    “…Accurate seasonal forecasting of lake levels using traditional mechanistic models is challenging due to the complex physical mechanisms and coupled hydroclimatic processes involved. Recently, deep learning has gained prominence in geoscience applications for its ability to recognize intricate patterns within multiphysical data sets. …”
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  11. 12631

    Embedded Descriptor Generation in Faster R-CNN for Multi-Object Tracking by Younis Younis, Khalil Alsaif

    Published 2021-12-01
    “…With the rapid growth of computer usage to extract the required knowledge from a huge amount of information, such as a video file, significant attention has been brought towards multi-object detection and tracking. …”
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