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  1. 1
    AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite

    AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite by Reda, Mariam

    Published 2022
    “…The most lightweight, highaccuracy model is concluded to be an EfficientNetB0 model using a fully retrained base network with optimized hyperparameters, achieving 99% accuracy and demonstrating the efficacy of the proposed approach; it is integrated into our plant care support system in a TensorFlow Lite format alongside the front-end mobile application and centralized cloud database. …”
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  2. 2
    Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting

    Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

    Published 2019
    “…We propose a tensor representation for the series of road network snapshots, and develop a regularized factorization method to estimate the missing values, while learning the latent factors of the network. …”
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  3. 3
    Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems

    Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems by Raka Jovanovic (17947838)

    Published 2023
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  4. 4
    Bias field/frequency characteristic of millimeter wavesemiconductor resonators at 77K

    Bias field/frequency characteristic of millimeter wavesemiconductor resonators at 77K by Sheikh, S.I.

    Published 2000
    “…The calculations assume that these materials are represented by the tensor permittivity derived from the Drude model of cyclotron motion in a plasma. …”
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  5. 5
    An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

    An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge by Zaulkernan, Imran

    Published 2022
    “…Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. …”
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