Results 91 to 100 of about 38,951,336 (344)

A method for estimating the step size of underground personnel based on generative adversarial networks

Gong-kuang zidonghua
In response to the problems of cumulative errors in step size estimation and the large sample size required by traditional deep learning methods in the pedestrian dead reckoning (PDR) based underground personnel positioning system in coal mines, a step ...
WANG Taiji
doaj   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Rasheed A. Balogun   +4 more
wiley   +1 more source

InViT: GAN Inversion-Based Vision Transformer for Blind Image Inpainting

IEEE Access
Blind image inpainting, the task of detecting corrupted regions with diverse patterns within an image and then generating plausible content for the corrupted regions, remains a both challenging and practical problem in computer vision.
Yongqiang Du, Haoran Liu, Shengjie He, Songnan Chen   +3 more
doaj   +1 more source

A Dynamical Generative Model of Social Interactions

Frontiers in Neurorobotics, 2021
The ability to make accurate social inferences makes humans able to navigate and act in their social environment effortlessly. Converging evidence shows that motion is one of the most informative cues in shaping the perception of social interactions ...
Alessandro Salatiello, Mohammad Hovaidi-Ardestani, Martin A. Giese   +2 more
doaj   +1 more source

Serum Myonectin Levels Are Positively Associated With Physical Function and Lower Frailty‐Related Limitation in Maintenance Hemodialysis Patients: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono, Yoshifumi Moriyama, Koji Ohashi, Naoya Otaka, Minako Tatsumi, Toyoaki Murohara, Noriyuki Ouchi, Satoru Oshima   +7 more
wiley   +1 more source

VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution

IEEE Access
Computed Tomography Angiography (CTA) is vital for detecting and planning treatment for vascular disease, but its use of contrast medium limits viability for patients with renal insufficiency.
Yun Hua, Suyan Bian, Pan Liu, Shaodong Zhu, Jing Jing, Yan Zhuang, Menglu Li, Xu Chen, Chongyou Rao, Xiaoyu Jin, Kunlun He   +10 more
doaj   +1 more source

Multiscale Structure and Texture Feature Fusion for Image Inpainting

IEEE Access, 2022
In order to achieve interaction between structure and texture information in generative adversarial image inpainting networks and improve the semantic veracity of the restored images, unlike the original two-stage inpainting ideas where texture and ...
Lan Li, Mingju Chen, Haode Shi, Zhengxu Duan, Xingzhong Xiong   +4 more
doaj   +1 more source

PocketFlow is a data-and-knowledge-driven structure-based molecular generative model

Nature Machine Intelligence
Deep learning-based molecular generation has extensive applications in many fields, particularly drug discovery. However, the majority of current deep generative models are ligand-based and do not consider chemical knowledge in the molecular generation ...
Yuanyuan Jiang, Guo Zhang, Jing You, Hailin Zhang, Rui Yao, Huanzhang Xie, Liyun Zhang, Ziyi Xia, Mengzhe Dai, Yunjie Wu, Linli Li, Shengyong Yang   +11 more
semanticscholar   +1 more source

Generalized prime models [PDF]

Journal of Symbolic Logic, 1971
A prime model O of some complete theory T is a model which can be elementarily imbedded into any model of T (cf. Vaught [7, Introduction]). We are going to replace the assumption that T is complete and that the maps between the models of T are elementary imbeddings (elementary extensions) by more general conditions.
openaire   +2 more sources

Generative Marginalization Models

CoRR, 2023
We introduce marginalization models (MAMs), a new family of generative models for high-dimensional discrete data. They offer scalable and flexible generative modeling by explicitly modeling all induced marginal distributions. Marginalization models enable fast approximation of arbitrary marginal probabilities with a single forward pass of the neural ...
Sulin Liu, Peter J. Ramadge, Ryan P. Adams   +2 more
openaire   +3 more sources