gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data

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hermes-rheo: An open-source Python package for rheological data analysis

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tools4RDF: A Python toolkit for working with RDF data

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A Data Centric Approach to the Design of Unknown Input Functional Observers

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Hybrid Data Lake Entities Localization Optimization Based on Complex Networks

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SHIFT: Self-Healing Intelligence in Feature Store and Data Store Transitions

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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

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From Notes to Networks: Using Obsidian to Teach Metadata and Linked Data

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Big issues for big data: challenges for critical spatial data analytics

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Data Journeys in Nursing Homes. The visibility and invisibility of care work

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Working with Data in Healthcare. A scoping review and thematic analysis

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Lossless Compression and Data Transformation Techniques on QR Code Binary Bit Stream

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Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising

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Predictive Human Trajectory Classification in Industrial Settings With Transfer Learning and Data Augmentation

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ETLForge: A unified framework for synthetic test-data generation and ETL validation

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PySEMTools: A library for post-processing hexahedral spectral element data.

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Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation

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