Results 71 to 80 of about 24,500,069 (341)

A Survey on Surface Defect Inspection Based on Generative Models in Manufacturing

open access: yesApplied Sciences
Surface defect inspection based on deep learning has demonstrated outstanding performance in improving detection accuracy and model generalization. However, the small scale of defect datasets always limits the application of deep models in industry ...
Yu He, Shuai Li, Xin Wen, Jing Xu
doaj   +1 more source

A GENERIC MODEL OF COLLECTIVITIES

open access: yesCybernetics and Systems, 2007
A class of social phenomena, exhibiting fluid boundaries and constant change, called 'collectivities,' is modeled using an agent-based simulation, demonstrating how such models can show that a set of plausible microbehaviors can yield the observed macro-phenomenon.
openaire   +4 more sources

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook   +6 more
wiley   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

Artificial-Intelligence-Generated Content with Diffusion Models: A Literature Review

open access: yesMathematics
Diffusion models have swiftly taken the lead in generative modeling, establishing unprecedented standards for producing high-quality, varied outputs. Unlike Generative Adversarial Networks (GANs)—once considered the gold standard in this realm—diffusion ...
Xiaolong Wang   +2 more
doaj   +1 more source

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta   +6 more
wiley   +1 more source

Debiasing Image Generative Models [PDF]

open access: yes, 2023
Generative models have become increasingly popular in various domains to solve challenging tasks, including image generation, dialogue generation, and story generation.
Tanjim, Md Mehrab
core  

Generative AI and large language models in health care: pathways to implementation

open access: yesnpj Digital Medicine
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors.
Marium M. Raza   +2 more
doaj   +1 more source

Potential of Artificial Intelligence Tools for Text Evaluation and Feedback Provision

open access: yesДискурс профессиональной коммуникации
The article aims to explore the potential of generative artificial intelligence (AI) for assessing written work and providing feedback on it. The goal of this research is to determine the possibilities and limitations of generative AI when used for ...
S. V. Bogolepova
doaj   +1 more source

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

open access: yesFrontiers in Pharmacology, 2020
Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular structures with similar properties.
Daniil Polykovskiy   +20 more
doaj   +1 more source

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