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Design of intelligent English translation teaching system combined with bidirectional encoder representation
Published 2025-12-01“…In addition, the system integrates machine learning algorithms that analyze students' learning habits and error patterns to provide customized exercises and tutoring. …”
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Optimization of the prognosis of postoperative complications in patients with breast cancer
Published 2025-04-01Get full text
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Risk prediction model of cognitive performance in older people with cardiovascular diseases: a study of the National Health and Nutrition Examination Survey database
Published 2025-01-01“…After which, based on the selected relevant variables, we developed a machine learning model that was predictive of cognitive impairment such as Alzheimer’s diseases in the older people. …”
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Geospatial dataset on deforestation and urban sprawl in Dhaka, Bangladesh: A resource for environmental analysisMendeley Data
Published 2025-08-01“…Furthermore, the dataset is readily applicable for educational purposes in disciplines such as geography, environmental science, and machine learning. …”
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Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield
Published 2024-01-01Get full text
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Poverty‐Armed Conflict Nexus: Can Multidimensional Poverty Data Forecast Intrastate Armed Conflicts?
Published 2024-09-01“…It utilizes a machine‐learning algorithm and annually published fragility data to forecast future intrastate armed conflicts. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing
Published 2025-03-01Get full text
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Integrated artificial intelligence in healthcare and the patient’s experience of care
Published 2025-07-01“…Furthermore, we present a fairly rigorous mathematical model and adopt prevailing techniques in Machine Learning (ML) to develop models that utilize a patient’s general information and responses to a survey to predict the degree of AI integration that will maximize their experience of care. …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes
Published 2025-07-01“…A diverse set of machine learning models, including Random Forest, Decision Tree, Support Vector Machine (SVM), Logistic Regression, Gaussian Naive Bayes, and Multilayer Perceptron (MLP), were evaluated alongside ensemble methods to achieve robust and reliable predictions. …”
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