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  2. 8842

    In Silico Knockout Studies of Xenophagic Capturing of Salmonella. by Jennifer Scheidel, Leonie Amstein, Jörg Ackermann, Ivan Dikic, Ina Koch

    Published 2016-12-01
    “…The degradation of cytosol-invading pathogens by autophagy, a process known as xenophagy, is an important mechanism of the innate immune system. …”
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    Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

    Published 2020-01-01
    “…To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. Data augmentation transformation provided more learning samples; the network was simplified to accommodate the artificial neural network; the training process speed up is introduced to make the training process more time efficient. …”
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    A Neural Network: Family Competition Genetic Algorithm and Its Applications in Electromagnetic Optimization by P.-Y. Chen, C.-H. Chen, H. Wang

    Published 2009-01-01
    “…Our results demonstrate that the optimal electromagnetic properties given by the NN-FCGA are comparable to those of the FCGA, but reducing a large amount of computation time and a well-trained NN model that can serve as a nonlinear approximator was developed during the optimization process of the NN-FCGA.…”
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  13. 8853

    Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

    Published 2023-01-01
    “…Ultra-reliable low-latency communications, URLLC, are designed for applications such as self-driving cars and telesurgery requiring a response in milliseconds and are very sensitive to transmission errors. To match the computational complexity of LDPC decoding algorithms to URLLC applications on IoT devices having very limited computational resources, this paper presents a new parallel and low-latency software implementation of the LDPC decoder. …”
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  14. 8854

    Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

    Published 2025-01-01
    “…This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content. …”
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    Deep Learning Enabled Garbage Classification and Detection by Visual Context for Aerial Images by Agnivesh Pandey, Rohit Raja, Manoj Gupta, Farhan A. Alenizi, Pannee Suanpang, Aziz Nanthaamornphong

    Published 2025-01-01
    “…Proper garbage waste processing, management, and recycling are crucial for both ecological and economic reasons. …”
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