Interactive story maps for historical musical instruments: a 3D and semantic web tool for cultural heritage preservation

Subjects: “…Big data and Data science…”
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Turbofan engine health status prediction with heterogeneous ensemble deep neural networks

Subjects: “…Big data and Data science…”
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Biomedical text summarization with large language models: methodologies, challenges, and future directions

Subjects: “…Big data and Data science…”
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Explainable deep learning for software defect prediction: a residual-shuffle network approach with SHAP and LIME

Subjects: “…Big data and Data science…”
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Gower-SOM: a self-organizing map for mixed data with gower distance and heuristic adaptation for data analytics

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An empirical evaluation of clustering processes for early detection of university dropout

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Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques

Subjects: “…Big data and Data science…”
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Average Volatility Dimensioning (AVD): dimension reduction technique for multivariate time series

Subjects: “…Big data and Data science…”
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Logistic Dropout: a soft dropout mechanism via the Logistic Map

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BlockSketch: A Hybrid Tree-Based Sketch for Keyword Search in Blockchain Systems

Subjects: “…Big data and Data science…”
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A fully decentralized federated adversarial vision transformer with blockchain and secure aggregation for visual-based intrusion and malware forensics

Subjects: “…Big data and Data science…”
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A systematic literature review on explainable AI for churn prediction, customer segmentation and retention

Subjects: “…Big data and Data science…”
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Lazy lossless compression by symbol lookahead invalidation in universal adaptive stream-based entropy coding

Subjects: “…Big data and Data science…”
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Zoning of soybean production in the state of Mato Grosso, Brazil, from 1990 to 2018, by cluster analysis

Subjects: “…Big data and Data science…”
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An approach for detecting emerging operational risks from textual data

Subjects: “…Big data and Data science…”
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Aqnet adaptive mesh attention framework for spatiotemporal air quality prediction in diverse urban environments

Subjects: “…Big data and Data science…”
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A Kendall’s rank correlation coefficient-based decision tree for monotonic classification problem

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Generating Counterfactual Temporal Motifs: Unraveling the Mysteries of Temporal Graph Neural Networks

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A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances

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Fusion of pre-trained model features with style-aware attention for enhanced content-based recommendation system

Subjects: “…Big data and Data science…”
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