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#1Big Data in Cloud Computing: A Comprehensive Review and Future OpportunitiesAn in-depth analysis of the convergence of Big Data and Cloud Computing, exploring challenges, opportunities, and design principles for scalable data processing.
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#2Flood Modelling for Cities Using Cloud Computing: Architecture and Case StudyAn analysis of a cloud-based architecture for parameter sweep execution in urban flood risk modelling, enabling large-scale simulations with cost-effective computational power.
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#3Computational Resource Efficient Learning (CoRE-Learning): A Theoretical Framework for Time-Sharing Machine LearningIntroduces CoRE-Learning, a theoretical framework incorporating time-sharing computational resource concerns and machine learning throughput into learning theory.
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#4computepowercoin - Technical Documentation and ResourcesComprehensive technical documentation and resources about computepowercoin technology and applications.
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#5High Performance Computing with a Conservative Spectral Boltzmann Solver: Analysis and ImplementationAnalysis of a deterministic spectral method for the Boltzmann equation, focusing on high-performance computing implementation, second-order accuracy, and applications to non-equilibrium flows.
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#6Quantum-Safe Edge Applications: Securing Distributed Computing SystemsAnalysis of integrating Quantum Key Distribution (QKD) with ETSI MEC standards to secure federated edge computing against quantum threats.
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#7Robust Steady-State-Aware MPC for Resource-Constrained Systems with DisturbancesA novel robust Model Predictive Control framework combining steady-state awareness with tube-based design for systems with limited computational resources and external disturbances.
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#8Surrogate Modeling for Scalable Evaluation of Distributed Computing Systems in HEPAnalysis of using ML surrogate models to accelerate simulations of HEP computing workflows, overcoming the accuracy-scalability trade-off in tools like DCSim.
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#9Performance Analysis of Traditional VQA Models Under Limited Computational ResourcesAnalysis of traditional VQA models (BidGRU, GRU, BidLSTM, CNN) under computational constraints, focusing on efficiency, accuracy for numerical/counting questions, and optimization strategies.
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#10The Case for Universal Basic Computing Power (UBCP): A Framework for Inclusive AIAnalysis of the Universal Basic Computing Power (UBCP) proposal, a policy initiative to provide free, universal access to AI computational resources to counter centralization and foster inclusive AI development.
Last updated: 2026-02-16 21:32:05