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  1. 2621
    Climate change and specialty coffee potential in Ethiopia
    “... specialty coffees in Ethiopia. We implement an ensemble model of three machine learning algorithms...”
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  2. 2622
    Computational high-throughput screening of alloy nanoclusters for electrocatalytic hydrogen evolution
    “... clusters supported by the DFT calculations and machine-learning techniques. Our screening strategy could...”
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  3. 2623
    Photoplethysmography based atrial fibrillation detection: a review
    “... detection using PPG. A thorough account of the signal processing, machine learning, and deep learning...”
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  4. 2624
    Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)
    “... and for better description of ASD-associated social phenotypes. Using machine-learning tools, we detected...”
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  5. 2625
    Aproximación al estudio de las decisiones automatizadas en el seno del Reglamento General Europeo de Protección de Datos a la luz de las tecnologías big data y de aprendizaje computacional
    por Elena Gil González
    Publicado 2017
    “... avance de las tecnologías big data o de aprendizaje computacional (machine learning). Este hecho ha sido...”
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  6. 2626
    Antibody design using LSTM based deep generative model from phage display library for affinity maturation
    “... dataset, our machine learning approach generated sequences with greater affinity....”
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  7. 2627
    Lineage structure of Streptococcus pneumoniae may be driven by immune selection on the groEL heat-shock protein
    “... or neutral processes. Here, we attempt to address this question by applying a machine learning technique...”
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  8. 2628
    Swine growth promotion with antibiotics or alternatives can increase antibiotic resistance gene mobility potential
    “... and phylogeny. Additionally, machine-learning methods aided in defining the community and resistome differences...”
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  9. 2629
    Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm
    “... extreme gradient boosting (XGBoost), a large-scale machine-learning algorithm. We identified cases...”
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  10. 2630
    Impact of the repurposed drug thonzonium bromide on host oral-gut microbiomes
    “... and machine learning, showing increased sharing of oral taxon Sutterella in the gut microbiota. Host-tissue...”
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  11. 2631
    Modeling transcriptomic age using knowledge-primed artificial neural networks
    “...Abstract The development of ‘age clocks’, machine learning models predicting age from biological...”
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  12. 2632
    Unsupervised Learning Universal Critical Behavior via the Intrinsic Dimension
    “... of machine learning techniques applied to statistical physics. Here, we study how the minimum number...”
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  13. 2633
    Accurate long-range forecasting of COVID-19 mortality in the USA
    “... to managing the pandemic and its consequences. We use machine learning techniques to design an adaptive...”
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  14. 2634
    Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass
    “... were determined in a machine-learning manner using experimental data with bovine blood as the perfusate...”
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  15. 2635
    A learning-based tip contact force estimation method for tendon-driven continuum manipulator
    por Fan Feng, Wuzhou Hong, Le Xie
    Publicado 2021
    “... as the output and fits this static model by means of machine learning so that it may be used as a real-time...”
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  16. 2636
    Symptom Analysis Using Fuzzy Logic for Detection and Monitoring of COVID-19 Patients
    “...), and Machine Learning (ML) opened new horizons of healthcare opportunities. Moreover, these technological...”
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  17. 2637
    Stable, Low Power and Bit-Interleaving Aware SRAM Memory for Multi-Core Processing Elements
    “...The machine learning and convolutional neural network (CNN)-based intelligent artificial...”
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  18. 2638
    Microbiological assessment of ecological status in the Pearl River Estuary, China
    “... could represent both eutrophication and fecal pollution levels. In addition, using a machine learning...”
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  19. 2639
    A method to avoid spatial overfitting in estimation of grassland above-ground biomass on the Tibetan Plateau
    “... methodology with which to improve the transferability of machine learning algorithms to predict grassland AGB...”
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  20. 2640
    Review of internal cyber attacks in nuclear facilities and an artificial neural network model for implementing internal cyberforensics
    “... in nuclear facilities is provided, with the lessons learned leading to the development of a machine...”
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