Results 241 to 250 of about 272,612 (359)

MDG: Masked Denoising Generation for Multi-Agent Behavior Modeling in Traffic Environments [PDF]

Zhiyu Huang, Zewei Zhou, Tianhui Cai, Yun Zhang, Jiaqi Ma   +4 more
openalex   +1 more source

Wavelet-Based Denoising Optimization for Endoscopic Gastric Slow-Wave Recordings. [PDF]

Healthc Technol Lett
Tremain P, Dowrick JM, Cheng LK, McKeage JW, Saavedra C, Sotelo J, Angeli-Gordon TR.   +6 more
europepmc   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Efficient seismic data denoising via multi-scale attention network with depthwise separable and residual dilated convolutions. [PDF]

Sci Rep
Yao Z, Hao L, Qin L, Chen J, Li W.
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Artificial-intelligence-driven segmentation and analysis of microbial cells. [PDF]

J Biomed Opt
Zhang S, Coffin C, Rogers KL, Royer CA, Wang G.   +4 more
europepmc   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

Advanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet, Marc Botifoll, Xuli Chen, Martin Børstad Eriksen, Jing Yu, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Jordi Arbiol   +8 more
wiley   +1 more source

Image denoising using scale mixtures of Gaussians in the wavelet domain

IEEE Transactions on Image Processing, 2003
J. Portilla, V. Strela, M. Wainwright, Eero P. Simoncelli   +3 more
semanticscholar   +1 more source

Diffusion prior-based zero-shot denoising for real-world fluorescence microscopy images via encoder-decoder guided sampling. [PDF]

Biomed Opt Express
Luo Q, Liu Z, Yang G.
europepmc   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source