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1241
Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm
Published 2025-08-01Get full text
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1242
Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare
Published 2025-06-01“…To help researchers better understand and apply RFE more effectively, this study organizes existing variants into four methodological categories: (1) integration with different machine learning models, (2) combinations of multiple feature importance metrics, (3) modifications to the original RFE process, and (4) hybridization with other feature selection or dimensionality reduction techniques. …”
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1243
Self-other generalisation shapes social interaction and is disrupted in borderline personality disorder
Published 2025-07-01Get full text
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1244
A hybrid MCDM approach for unveiling ChatGPT's effect on students' learning
Published 2025-12-01“…The education sector received significant benefits from ChatGPT as an Artificial Intelligence (AI) chatbot because it strengthens human-machine teamwork while making education more efficient and adapting to individual students and reducing their workload. …”
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1245
USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT
Published 2023-12-01Get full text
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1246
Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning
Published 2025-06-01Get full text
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1247
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1248
Learning to trade autonomously in stocks and shares: integrating uncertainty into trading strategies
Published 2025-08-01Get full text
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1249
DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING
Published 2025-02-01Get full text
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1250
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1251
Classification of English Words into Grammatical Notations Using Deep Learning Technique
Published 2024-12-01Get full text
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1252
Adaptive Algorithm Recommendation and Application of Learning Resources in English Fragmented Reading
Published 2021-01-01Get full text
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1253
Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement
Published 2025-06-01“…While traditional machine learning approaches such as random forest and neural networks have been applied to educational data, they typically present trade-offs between interpretability and predictive capability, failing to capture student learning processes’ complex, multidimensional nature. …”
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1254
Generative deep learning for predicting ultrahigh lattice thermal conductivity materials
Published 2025-04-01Get full text
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1255
Integrating Random Forest with Neutrosophic Logic for Predicting Student Academic Performance and Assessing Prediction Confidence
Published 2025-05-01“…This study proposes a hybrid approach to predict students’ final academic performance in a mathematics course by integrating Random Forest, a supervised machine learning model, with neutrosophic logic to assess prediction reliability. …”
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1256
Enhancing Incentive Schemes in Edge Computing through Hierarchical Reinforcement Learning
Published 2025-04-01“… Edge learning is a distributed approach for training machine learning models using data from edge devices. …”
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1257
Graph technologies in an intelligent system of complex analysis of data from Internet sources
Published 2020-09-01Get full text
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1258
Clinical characteristics and CKD care delivery in African American and American Indian or Alaska Native patients: A real-world cohort study
Published 2025-07-01“…However, the frequency or prescribing of CKD-GDMT and UACR/UPCR testing were suboptimal across all examined racial identity groups. Exploratory machine learning approaches, including logistic regression, lasso regression, and random forest found similar findings. …”
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1259
Current situation and reform trend of medical practical course teaching mode in the "AI+Education" era
Published 2024-08-01“…With the deep integration of artificial intelligence (AI) and education, the traditional medical education model has changed greatly. …”
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1260
A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students
Published 2020-04-01“…The learning phase of the model consists of building a decision tree based on a training sample containing data on precedents for students to complete tasks. …”
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