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Exploring the health care system’s representation in the media through hierarchical topic modeling

Cogent engineering, 2024-12, Vol.11 (1)

2024

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Optimizing task scheduling in cloud computing: a hybrid artificial intelligence approach

Cogent engineering, 2024-12, Vol.11 (1)

2024

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Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

Cogent engineering, 2024-12, Vol.11 (1)

2024

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Industrial revolution 4.0 in water supply, wastewater and stormwater management: opportunities, challenges, and impacts

Environmental technology reviews, 2024-12, Vol.13 (1), p.144-168

2024

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Effectiveness verification framework for coupon distribution marketing measure considering users’ potential purchase intentions

Cogent engineering, 2024-12, Vol.11 (1)

2024

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence

Systems science & control engineering, 2024-12, Vol.12 (1)

2024

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Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education

Cogent education, 2024-12, Vol.11 (1)

2024

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Spatio-temporal differentiation on China’s green agricultural total factor productivity guided by digital technology and fuzzy systems

Cogent food & agriculture, 2024-12, Vol.10 (1)

2024

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Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

Geomatics, natural hazards and risk, 2024-12, Vol.15 (1)

2024

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Investment strategies in Industry 4.0 for enhanced supply chain resilience: an empirical analysis

Cogent business & management, 2024-12, Vol.11 (1)

2024

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Multiple treatment effect estimation for business analytics using observational data

Cogent engineering, 2024-12, Vol.11 (1)

2024

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External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study

Renal failure, 2024-12, Vol.46 (1), p.2322031-2322031

2024

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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review

Renal failure, 2024-12, Vol.46 (2), p.2380748

2024

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New collaborative statement by bioethics journal editors on generative AI use

Accountability in research, 2024-12, Vol.31 (1), p.1-1

Rasmussen, Lisa M.

2024

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Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients

Renal failure, 2024-12, Vol.46 (1), p.2322043-2322043

2024

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Novel immune cross-talk between inflammatory bowel disease and IgA nephropathy

Renal failure, 2024-12, Vol.46 (1), p.2337288-2337288

2024

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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches

International journal of green energy, 2024-09, Vol.21 (12), p.2771-2798

2024

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ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

International journal of production research, 2024-08, Vol.62 (16), p.5676-5696

2024

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Artificial intelligence and school leadership: challenges, opportunities and implications

School leadership & management, 2024-08, Vol.44 (4), p.339-346

2024

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Machine learning with real-world HR data: mitigating the trade-off between predictive performance and transparency

International journal of human resource management, 2024-08, Vol.35 (14), p.2343-2366

2024

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Technical research on rapid source term calculation and prediction technology of nuclear accidents based on Bayesian network

Journal of nuclear science and technology, 2024-08, Vol.61 (8), p.1061-1074

2024

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Generative AI as a Catalyst to Elevate School Health Education

Journal of physical education, recreation & dance, 2024-07, Vol.95 (6), p.45-51

2024

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Can AI do Spiritual Research? A Zen Buddhist Perspective

Journal of management, spirituality & religion, 2024-07

Yu, Tianyuan

2024

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EXISTENTIAL RISK FROM TRANSFORMATIVE AI: AN ECONOMIC PERSPECTIVE

Technological and economic development of economy, 2024-07, p.1-27

Growiec, Jakub

2024

Volltextzugriff (PDF)

Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity

Nondestructive testing and evaluation, 2024-07, Vol.39 (5), p.1045-1069

2024

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Exploring the health care system’s representation in the media through hierarchical topic modeling

Optimizing task scheduling in cloud computing: a hybrid artificial intelligence approach

Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning

Industrial revolution 4.0 in water supply, wastewater and stormwater management: opportunities, challenges, and impacts

Effectiveness verification framework for coupon distribution marketing measure considering users’ potential purchase intentions

Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence

Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education

Spatio-temporal differentiation on China’s green agricultural total factor productivity guided by digital technology and fuzzy systems

Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

Investment strategies in Industry 4.0 for enhanced supply chain resilience: an empirical analysis

Multiple treatment effect estimation for business analytics using observational data

External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study

Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review

New collaborative statement by bioethics journal editors on generative AI use

Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients

Novel immune cross-talk between inflammatory bowel disease and IgA nephropathy

Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches

ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

Artificial intelligence and school leadership: challenges, opportunities and implications

Machine learning with real-world HR data: mitigating the trade-off between predictive performance and transparency

Technical research on rapid source term calculation and prediction technology of nuclear accidents based on Bayesian network

Generative AI as a Catalyst to Elevate School Health Education

Can AI do Spiritual Research? A Zen Buddhist Perspective

EXISTENTIAL RISK FROM TRANSFORMATIVE AI: AN ECONOMIC PERSPECTIVE

Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity

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