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    A Reusable Prompting Framework for Applying Large Language Models to Legal Tasks

    Published in IEEE Access (2026)
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    Generative AI Shanshui animation enhancement using Perlin noise and diffusion models

    Published in Discover AI (2026)
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    Modeling of an English speaking scoring system integrating natural language processing techniques

    Published in Discover AI (2026)
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    Large language models for clinical artificial intelligence in healthcare a systematic review

    Published in Discover AI (2026)
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    Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis

    Published in Discover AI (2026)
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    Multi-Objective Optimization of Large Language Model Summaries for Clinical Text Narratives

    Published in IEEE Access (2026)
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    Ensemble learning models for micro-drone detection using integrated acoustic signatures

    Published in Discover AI (2026)
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    RydIQule Version 2: Enhancing graph-based modeling of Rydberg atoms

    Published in Journal of Open Source Software (2026)
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    DKC-LLM: Dynamic Knowledge Caching for Large Language Models in Business Applications

    Published in IEEE Access (2026)
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    Zero-Shot Pre-Retrieval Prompt Performance Prediction for Large Language Models

    Published in IEEE Access (2026)
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    Neural Network Augmented Koopman Explicit Model Following Control for Robotic Manipulators

    Published in IEEE Access (2026)
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    MODELLING OF DYNAMICAL SYSTEMS: HYBRID BLOCK METHODS FOR STIFF INITIAL VALUE PROBLEMS

    Published in NiJOTECH (2026)
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    Multi-Model ASR Integration With Reliability Weighting for Automated Speech Disorder Screening

    Published in IEEE Access (2026)
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    Formal Analysis of the Contract Automata Runtime Environment with Uppaal: Modelling, Verification and Testing

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    ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

    Published in Journal of Open Source Software (2026)
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    Evaluating Bias Detection and Mitigation Approaches Across Classical and Large Language Models

    Published in IEEE Access (2026)
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    A Novel Deep Learning Technique to Model and Predict the Spread of Cybersecurity Threats

    Published in IEEE Access (2026)
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    Mathematical modeling of combat operations with planning of target distribution coefficients for one of the opposing sides

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    Prioritising Energy Policy Alternatives in Bangladesh: A Multi‐Criteria Decision‐Making Model

    Published in IET Renewable Power Generation (2026)
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    A Comparative Benchmark of Large Language Models for Labelling Wind Turbine Maintenance Logs

    Published in IET Renewable Power Generation (2026)
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