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  1. 2761
    Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
    por Suresh Neethirajan
    Publicado 2021
    “..., the underlying machine learning algorithms have a huge potential that could be applied to not just digital media...”
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  2. 2762
    A comparative analysis of resistance models for austenitic stainless steel girders subjected to concentrated loads
    “... international design codes and models obtained through machine learning. Finally, the numerical results show...”
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  3. 2763
    Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry
    por X. Xu, A. Stoffelen
    Publicado 2021
    “... for tropical regions. We apply the well-researched support vector machine (SVM) method in machine learning (ML...”
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  4. 2764
    MatureP: prediction of secreted proteins with exclusive information from their mature regions
    “... using Just Add Data Bio, an automated machine learning tool. Mature domains are predicted efficiently...”
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  5. 2765
    Mushroom data creation, curation, and simulation to support classification tasks
    “... different machine learning algorithms, namely, naive Bayes, logistic regression, and linear discriminant...”
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  6. 2766
    Enabling deeper learning on big data for materials informatics applications
    “...Abstract The application of machine learning (ML) techniques in materials science has attracted...”
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  7. 2767
    De novo assembly and characterization of the first draft genome of quince (Cydonia oblonga Mill.)
    “... transcription factors were identified in the ab initio predicted genic sequences. Different machine learning...”
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  8. 2768
    Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors
    “... (CVD). A machine learning-based framework was developed to (1) determine an optimal configuration...”
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  9. 2769
    Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
    “... to recognize images with machine learning methods. We aimed to construct a CNN that could recognize...”
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  10. 2770
    Comparative Evaluation of MS-based Metabolomics Software and Its Application to Preclinical Alzheimer’s Disease
    “... biomarkers from three software packages. Machine learning classification using candidate biomarkers generated...”
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  11. 2771
    A diver-operated hyperspectral imaging and topographic surveying system for automated mapping of benthic habitats
    “... can be leveraged to generate photopigment abundance and benthic composition maps. We applied machine...”
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  12. 2772
    Novel AI driven approach to classify infant motor functions
    “... the classic Prechtl general movements assessment (GMA). This study proposes a novel machine learning algorithm...”
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  13. 2773
    A novel automatic cough frequency monitoring system combining a triaxial accelerometer and a stretchable strain sensor
    “... dataset. Using a variational autoencoder, a machine learning algorithm with deep learning, the components...”
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  14. 2774
    Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning
    “...Abstract Deep learning (DL) is an advanced machine learning approach used in diverse areas...”
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  15. 2775
    Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset
    “...Abstract The reliability of machine learning models can be compromised when trained on low quality...”
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  16. 2776
    Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children
    “... vision, our approach carries reasonable promises that a reliable machine-learning-based ASD screening may...”
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  17. 2777
    Integrative analysis of the choroid by quantifying Haller vessel and choriocapillaris parameters in different drusen subtypes
    “... in the soft drusen plus SDD group. Based on unsupervised machine learning, the eyes were classified into 4...”
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  18. 2778
    Local bi-fidelity field approximation with Knowledge Based Neural Networks for Computational Fluid Dynamics
    “...Abstract This work presents a machine learning based method for bi-fidelity modelling. The method...”
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  19. 2779
    Review of Deep Learning-Based Atrial Fibrillation Detection Studies
    “... techniques for automated detection of AF. Various machine learning and deep learning (DL) techniques have...”
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  20. 2780
    A Hybrid Deep Learning Approach for Replay and DDoS Attack Detection in a Smart City
    “... of the proposed model over other machine learning and deep learning models from the literature....”
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