„Data-driven processes“
Suchergebnisse
333 Treffer
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Homophily in networked agent-based models: a method to generate homophilic attribute distributions to improve upon random distribution approaches
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Distribution and dependence of extremes in network sampling processes
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Network partitioning algorithms as cooperative games
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Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning
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Tracking online topics over time: understanding dynamic hashtag communities
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Influence maximization in social media networks concerning dynamic user behaviors via reinforcement learning
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Data‐driven simulation of metastatic processes within brain tissue
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Knowledge management in digital work environments state-of-the-art and outlook – 18.-20.03.2019, Potsdam, Germany
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A Semi-parametric Bayesian Analysis of Survival Data Based on Lévy-driven Processes
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HDML: hybrid data-driven multi-task learning for China’s stock price forecast
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Network characteristics emerging from agent interactions in balanced distributed system
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Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization
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Predicting fatigue life of automotive adhesive bonded joints: a data-driven approach using combined experimental and numerical datasets
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A data-driven approach for predicting the fatigue life and failure mode of self-piercing rivet joints
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Development of data-driven, physics-based, and hybrid prognosis frameworks: a case study for gear remaining useful life prediction
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Trajectory tracking control of discrete non-affine MIMO iterative systems with unknown models: a neural-network-based data-driven algorithm
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Integrating data-driven system to predict temperature and distortion in multi-layer direct metal deposition processes
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Learning Soft Millirobot Multimodal Locomotion with Sim‐to‐Real Transfer
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Accurate nano-photonic device spectra calculation using data-driven methods
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Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation