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  1. 2141
    Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
    “... investigations. The majority of studies retrieved larger datasets using machine learning techniques (44/52...”
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  2. 2142
    Identification Method of Wheat Cultivars by Using a Convolutional Neural Network Combined with Images of Multiple Growth Periods of Wheat
    “... varieties, it is costly, time-consuming, and inconvenient. Traditional machine learning methods can...”
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  3. 2143
    A Hybrid Vegetation Detection Framework: Integrating Vegetation Indices and Convolutional Neural Network
    “... (VIgreen). The chosen machine learning technique is You Only Look Once (YOLO), which is a clever...”
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  4. 2144
    Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids
    “... machine learning models are compared to estimate power and energy of hybrid photovoltaic (PV)-wind...”
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  5. 2145
    New models for donor-recipient matching in lung transplantations.
    “... incorporating newer machine-learning approaches.<h4>Results</h4>The proposed model represents a powerful tool...”
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  6. 2146
    A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome.
    “... soft voting ensemble classifier (SVE) using machine learning (ML) algorithms.<h4>Methods</h4>We used...”
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  7. 2147
    Novel Type III Effectors in <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content>
    “... machine learning classification algorithm to identify novel P. aeruginosa effectors. In this approach...”
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  8. 2148
    Functional knowledge transfer for high-accuracy prediction of under-studied biological processes.
    “... functional genomics techniques (e.g. machine learning) that predict protein function have been developed...”
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  9. 2149
    Empirical Comparisons for Combining Balancing and Feature Selection Strategies for Characterizing Football Players Using FIFA Video Game System
    por Mustafa A. Al-Asadi, Sakir Tasdemir
    Publicado 2021
    “...The process of modelling individual player performance using machine learning is a mature task...”
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  10. 2150
    Clinical factors associated with rapid treatment of sepsis.
    “... retrospective, observational cohort study using a machine-learning model with an embedded feature selection...”
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  11. 2151
    Effective automated feature construction and selection for classification of biological sequences.
    “... problems in machine learning. When classification is based on features extracted from the sequences under...”
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  12. 2152
    A Fully Integrated Reprogrammable CMOS-RRAM Compute-in-Memory Coprocessor for Neuromorphic Applications
    “... the data movement bottleneck in data-intensive artificial intelligence (AI) and machine learning. RRAM...”
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  13. 2153
    Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging
    “... procedures and evolving imaging protocols hamper the utility of machine learning, as prediction accuracy...”
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  14. 2154
    Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
    “...In many machine learning applications, one uses pre-trained neural networks, having limited access...”
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  15. 2155
    Genomic signatures for predicting the zoonotic potential of novel viruses.
    por Jason T Ladner
    Publicado 2021
    “... characterization needed to fully assess zoonotic potential. A study published in PLOS Biology uses machine learning...”
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  16. 2156
    Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
    “.... Here, by combining electron energy-loss spectroscopy and machine learning, the authors reveal how...”
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  17. 2157
    Predicting the frequencies of drug side effects
    “... trials. Here the authors develop an interpretable machine learning approach to predict the frequencies...”
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  18. 2158
    Real-time dynamics and structures of supported subnanometer catalysts via multiscale simulations
    “... the authors use a multiscale simulation approach and machine learning to study the structures and nucleation...”
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  19. 2159
    New estimates of flood exposure in developing countries using high-resolution population data
    “...Flood risk modelling neglects the location of people and assets. Here the authors applied machine...”
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  20. 2160
    Infusing theory into deep learning for interpretable reactivity prediction
    “...Machine learning faces challenges in catalyst design due to its black-box nature. Here, the authors...”
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