„Electronic data processing“
Suchergebnisse
5.920 Treffer
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Enhanced single-diode model parameter extraction method for photovoltaic cells and modules based on integrating genetic algorithm, particle swarm optimization, and comparative objective functions
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Learning optimal heterogeneous service network representation
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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models
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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks
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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis
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MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers
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Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy
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Deep learning for monitoring customer behavior in insurance industry
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Adversarial Anomaly Explanation
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OR based multi-objective decision-making in e-commerce improvement
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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs
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A machine learning-based severity stratification tool for high altitude pulmonary edema
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Electronic nose and machine learning for modern meat inspection
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Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review
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Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis
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A machine learning–based framework for predicting postpartum chronic pain: a retrospective study
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New data processing methods for network RTK positioning: improving ionospheric uncertainty management during ionospheric scintillations
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Identifying fall-related injuries: Text mining the electronic medical record
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Enhancing the emotional intelligence for business and work-life balance using fuzzy logic adaptive model of emotions
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Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram