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    Abstract Hidden Markov Models: a monadic account of quantitative information flow

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    Some model theory for the modal $mu$-calculus: syntactic characterisations of semantic properties

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    Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications

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    Arabic word sense disambiguation: a survey in the era of transformer-based models

    Published in JDSA (2026)
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    YIELD PREDICTION OF NSUKKA YELLOW PEPPER USING SOME MACHINE LEARNING MODELS

    Published in NiJOTECH (2026)
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    Using AI large language models to assess dental history in systemic conditions

    Published in Discover AI (2026)
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    Measuring susceptibility: A benchmark for conspiracy theory adherence in large language models

    Published in First Monday (2026)
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    Biomedical text summarization with large language models: methodologies, challenges, and future directions

    Published in JDSA (2026)
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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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