Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning

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A Deterministic Trajectory-Level Evaluation Framework for Learning-Based Agentic Systems

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Machine Learning Models for Detecting Hidden Collusion Networks in U.S. Corporate Finance

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Bridging Prediction and Profit: Deep Learning models with Trading Evaluation for FTSE 100

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Dynamic Portfolio Optimization with Deep Reinforcement Learning: Evidence from Borsa Istanbul

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Predicting Financial Performance in the Romanian Transportation Sector: A Machine Learning Approach

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Multiclass Detection of e-Wallet Fraud Transactions Using Deep Learning Techniques

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Adversarial Attack Detection in Federated Learning Using Quantum Recurrent Neural Network

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Project-Based Learning with ODEs: Modeling Straw Rocket Motion with Air Resistance

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Predictive modeling of annual carbon emissions using ensemble and deep learning approaches

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Predicting the Plastic Rotational Capacity of Reinforced Concrete Elements Using Machine Learning

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Multi-output learning for systematic missing value imputation in DNA methylation arrays

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Predicting Biochar‐Induced Changes in Soil Organic Carbon With Ensemble Machine Learning

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Accurate and Generalizable Protein-Ligand Binding Affinity Prediction With Geometric Deep Learning

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Dopamine D2-receptor blockade in humans disrupts the effect of effort on learning

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STL‐Decomposition Functional Deep Learning Ensemble Models for Hydro Power Forecasting

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Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms

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From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods

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Cognitive Offloading Strategies and Decrements in Learning: Lessons from Aviation and Aerospace Crises

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Confirming Whether Fine Needle Biopsy Device Shortens the Learning Curve of Endoscopic ...

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