Results 111 to 120 of about 212,177 (318)

Generative adversarial network for predictive maintenance of a packaging machine [PDF]

, 2022
openGenerative models have been designed to discover and learn the latent structure of the input data in order to generate new samples based on the regularities discovered in the data.
RASETTA, ADRIANO
core  

COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution

IEEE Access
Irregular event streams are common in domains such as finance, healthcare, and e-commerce, where the underlying data-generating processes are often highly complex and vary widely in scale. Models must adapt their temporal expressiveness while maintaining
Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Alexander Stepikin, Artem Zabolotnyi, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan A. Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev   +11 more
doaj   +1 more source

Risks and countermeasures of artificial intelligence generated content technology in content security governance

Dianxin kexue, 2023
Recently, artificial intelligence generated content (AIGC) technology has achieved various disruptive results and has become a new trend in AI research and application, driving AI into a new era.Firstly, the development status of AIGC technology was ...
Zhe QIAO
doaj  

Generalized logistic models

Mathematical and Computer Modelling, 1988
Abstract A class of models indexed by two shape parameters is introduced, both to extend the scope of the standard logistic model to asymmetric probability curves and improve the fit in the noncentral probability regions. One-parameter subclasses can be used to examine symmetric or asymmetric deviations from the logistic model.
openaire   +1 more source

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 more
wiley   +1 more source

Generalized filter models

Theoretical Computer Science, 2000
In this paper, starting from filters which are a natural generalization of intersection filters [\textit{H. Barendregt, M. Coppo} and \textit{M. Dezani-Ciancaglini}, J. Symb. Logic 48, 931-940 (1983; Zbl 0545.03004)], the existence of filter models and filter semimodels for the \(\lambda\)-calculus is investigated.
Ines Margaria, Maddalena Zacchi
openaire   +1 more source

The Future of Pediatric Hematology‐Oncology Fellowship Training: Reflections on the American Board of Pediatrics Training Model

Pediatric Blood &Cancer, EarlyView.
Scott C. Borinstein, Scott Moerdler, Alexander A. Boucher, Stacy L. Cooper, Rachel A Egler, Erika Friehling, Richard Ho, Catherine McGuinn, Kathryn S. Sutton, Stacey G. Zahler, Leslie Kersun, Jennifer Kesselheim   +11 more
wiley   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

ICT & Generative Artificial Intelligence Powered Hybrid Model for Future Education [PDF]

The Hybrid Model, powered by Information and Communication Technology (ICT) for future education, enriched with Generative Artificial Intelligence (GAI), stands today as an advanced educational learning model. It ingeniously combines the strengths of ICT
AMINE JAOUADI, ABDERRAHMANE MAARADJI
core  

Generative model and application framework for stability evaluation of salt cavern hydrogen storage facilities

Yantu gongcheng xuebao
Amid the accelerating transformation of the global energy structure, hydrogen energy, with its characteristics of abundant resources and zero carbon emissions, has emerged as a crucial part of China's energy development strategy.
LEI Huayang 1, 2, ZHANG Xinyu 1, XU Yinggang 1
doaj   +1 more source