Results 201 to 210 of about 278,852 (350)

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu   +8 more
wiley   +1 more source

Some asymptotic fixed point theorems [PDF]

open access: bronze, 1972
Roger D. Nussbaum
openalex   +1 more source

Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

open access: yesAdvanced Intelligent Systems, EarlyView.
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang   +3 more
wiley   +1 more source

Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes

open access: yesAdvanced Intelligent Systems, EarlyView.
This article describes a metamaterial that mechanically computes matrix‐vector multiplications, one of the fundamental operations in artificial intelligence models. The matrix multiplication is encoded in floppy modes, near‐zero force deformations of soft matter systems.
Theophile Louvet   +2 more
wiley   +1 more source

Almost fixed point theorems for the Euclidean plane

open access: bronze, 1963
J. de Groot   +2 more
openalex   +1 more source

MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a novel Multi‐Objective hybrid Harris Hawks Optimization (MO‐hHHO) algorithm for simultaneous feature selection and hyperparameter tuning in heart disease classification. The approach leverages adaptive exploration‐exploitation strategies to enhance convergence efficiency.
Anu Ragavi Vijayaraj   +1 more
wiley   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

open access: yesAdvanced Intelligent Systems, EarlyView.
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song   +6 more
wiley   +1 more source

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