Through the looking glass: a synthesis of systematic reviews and meta-analyses on pedagogy paradigms facilitated by large language models

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Comfort in a cross-sector care delivery model to address birth inequities: Learnings from San Francisco’s Pregnancy Village

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Sentiment analysis of trending tweets using Spark NLP and deep learning: a benchmark study of CNN vs transformer models

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Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches

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MODELING THE RELATIONSHIP BETWEEN GDP GROWTH RATE AND CONSUMER PRICE INDEX CHANGE RATES USING TUNED MACHINE LEARNING REGRESSORS

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Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

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Hybrid deep learning models for detecting user datagram protocol-based distributed denial of service attacks in internet of things networks

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Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023

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Spatial analysis of COVID-19 and the Russia–Ukraine war impacts on natural gas flows using statistical and machine learning models

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An Approach for HVAC Operational Improvement Using Machine Learning Models to Achieve a Comfortable Indoor Thermal Environment and Air Quality

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Comparative and complementary use of Bayesian inference and supervised learning for predictive modeling of coffee rust incidence among Kenyan smallholder farmers

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Integrated Constructivist and Phenomenon-Based Learning Model to Enhance Digital Skills and Creative Problem Solving for High Vocational Certificate Students

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Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach

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Hybrid Machine Learning and Physical Modeling of Feedstock Deformation During Robotic 3D Printing of Continuous Fiber Thermoplastic Composites

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Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models

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Retraction: Advancing enterprise risk management with deep learning: A predictive approach using the XGBoost-CNN-BiLSTM model

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Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model

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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model

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Development and validation of machine learning-based models integrating Septin9 methylation and serum biomarkers for early detection and differentiation of colorectal cancer

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