Digital Twin-based framework for real-time fault diagnosis and prognosis of industrial robots using unsupervised learning and real experimental data

Subjects: “…Big data and data science…”
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Beyond prediction: a multi-level Kahneman–Tversky optimisation framework for resource-aware student retention in higher education

Subjects: “…Big data and data science…”
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Adaptive Hamiltonian-based LMS for non-stationary systems: a receding horizon optimal control approach

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Bias and fairness in vision–language models and large language models: a survey on South Asian festival representations

Subjects: “…Big data and data science…”
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Keyword search on incomplete graphs based on an improved aggregation mechanism and graph autoencoder

Subjects: “…Big data and data science…”
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CHGRec: causal heterogeneous graph-enhanced medication recommendation with personalized refinement

Subjects: “…Big data and data science…”
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From return on investment to return on health: the CARE framework for AI governance, accountability, and equitable transformation in healthcare systems

Subjects: “…Big data and data science…”
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Dynamic monitoring of farmland non-grain conversion based on transformer and multi-source spatiotemporal features

Subjects: “…Big data and data science…”
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Hybrid diffusion-xLSTM framework for time-series prediction

Subjects: “…Big data and data science…”
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Spark-based DBSCAN++ for efficient density-based clustering

Subjects: “…Big data and data science…”
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Explainable yoga pose correction: a data-centric framework using SHAP-driven pose-specific feature analytics

Subjects: “…Big data and data science…”
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KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems

Subjects: “…Big data and data science…”
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VisYogaNet: visibility-guided lightweight network for yoga pose recognition

Subjects: “…Big data and data science…”
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Natural language processing for mental health assessment: a survey and comparative evaluation

Subjects: “…Big data and data science…”
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Predicting the future of healthcare costs: a review of healthcare contract cost forecasting for hospital management

Subjects: “…Big data and data science…”
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Hybridizing AVOA and HHO for robust data clustering: a novel optimization framework

Subjects: “…Big data and data science…”
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LUMR: leveraging user decision processes to model unknowns in recommendation system

Subjects: “…Big data and data science…”
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An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection

Subjects: “…Big data and data science…”
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The influence of missing data mechanisms and simple missing data handling techniques on fairness

Subjects: “…Big data and data science…”
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Dynamic bipartite graph analysis for the systematic estimation of temporal dynamics parameters for graph-based recommender systems

Subjects: “…Big data and data science…”
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