ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model

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Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems

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The role of EU cohesion funds in Romanian labour productivity: Insights from machine learning and econometric modelling

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Comparative Evaluation of Deep Learning Models, Security Tools, and Detection Frameworks for SQL Injection Attack Detection

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ENHANCING SLEEP QUALITY PREDICTION THROUGH SMOTE-BASED DATA BALANCING AND HYBRID MACHINE LEARNING MODELS

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The Context-Adaptive Learning Model (CALM) Enhancing Adaptive English Teaching Competency for Preservice Teachers in Thailand

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Examining Academics’ Decision-Making Processes and Implementation Challenges of Blended Learning Models for Future Higher Education

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Modeling and Encouraging Self-Care in Online Teacher Preparation: Lessons Learned During the COVID-19 Pandemic

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Optimizing machine learning models with multi feature selection for EEG analysis in second language acquisition research

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Deep Learning of Systematic Ocean Model Errors in a Coupled GCM From Data Assimilation Increments

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Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

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Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

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Learning From the Adoption of a Readmission Clinical Decision Support Tool: Group Model Building Approach

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Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics

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Model-Free Deep Reinforcement Learning Control for Grid-Connected Packed U-Cell Multilevel Inverters

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External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images

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Hybrid machine learning models for automated classification of weld defects in gas metal arc robotic welding

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A Modified Hybrid Content-Aware Course Recommendation Model for Moodle-Based Learning Management System

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Developing a machine learning model to map new-build gentrification: A mixed-methods approach

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Deep learning framework for RNA 5hmC prediction using RNA language model embeddings

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