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    tools4RDF: A Python toolkit for working with RDF data

    Published in Journal of Open Source Software (2026)
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    A Data Centric Approach to the Design of Unknown Input Functional Observers

    Published in IEEE Access (2026)
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    Hybrid Data Lake Entities Localization Optimization Based on Complex Networks

    Published in IEEE Access (2026)
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    SHIFT: Self-Healing Intelligence in Feature Store and Data Store Transitions

    Published in IEEE Access (2026)
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    A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation

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    Source Data Selection for Brain–Computer Interfaces Based on Simple Features

    Published in IEEE Access (2026)
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    The datafication of transparency work: A report from Los Angeles. Proceedings for the Interactions Symposium on Big Data.

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    Data as a new research publication type: What could be the role of research libraries as service providers?

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    Predicting Species Extinction Threats Using Occurrence Data From the Global Biodiversity Information Facility

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    Why raw yield data are better than relative yield in informing agronomic and economic decisions

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    Multimodal Data Curation Through Ranked Retrieval

    Published in ArXiv cs.IR Recent Papers (2026)
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    Lossless Compression and Data Transformation Techniques on QR Code Binary Bit Stream

    Published in IEEE Access (2026)
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    Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising

    Published in IEEE Access (2026)
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    Predictive Human Trajectory Classification in Industrial Settings With Transfer Learning and Data Augmentation

    Published in IEEE Access (2026)
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    ETLForge: A unified framework for synthetic test-data generation and ETL validation

    Published in Journal of Open Source Software (2026)
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    PySEMTools: A library for post-processing hexahedral spectral element data.

    Published in Journal of Open Source Software (2026)
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    Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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    "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

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    Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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    OPTCHAIN: AN ADVANCED OPTIMIZATION METHOD FOR ENHANCING IOT DATA SECURITY VIA BLOCKCHAIN

    Published in Computer Science (2025)
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