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Application of Artificial Intelligence for Sustaining Green Human Resource Management

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Introduction to Machine Learning
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Artificial intelligence methodologies for agile refining: an overview
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Industrial applications of agent technologies
inferredcites →https://doi.org/10.1023/b:jims.0000010077.27141.beopenalex-snapshot
A comprehensive survey and future trend of simulation study on FMS scheduling
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/cec.2016.7748365openalex-snapshot
Management approaches for Industry 4.0: A human resource management perspective
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Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Machine learning: Trends, perspectives, and prospects
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Never-ending learning
inferredcites →https://doi.org/10.15203/1998-9970-6-1-01openalex-snapshot
Arbeitssysteme als Soziotechnische Systeme – eine Erinnerung
inferredcites →https://doi.org/10.4230/lipics.concur.2020.3openalex-snapshot
Agnostic Learning with Unknown Utilities
inferredcites →https://doi.org/10.48550/arxiv.1706.03741openalex-snapshot
Deep reinforcement learning from human preferences
inferredcites →https://doi.org/10.5167/uzh-163089openalex-snapshot
Kooperatives Planen : theoretische Herleitung und empirische Überprüfung von Merkmalen und Einflussgrössen kooperativer Planungstätigkeiten in der abteilungsübergreifenden Bedarfsplanung

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect
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Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.