Results 211 to 220 of about 124,232 (320)

Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control

open access: yesAdvanced Intelligent Systems, EarlyView.
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao   +5 more
wiley   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan   +7 more
wiley   +1 more source

A Variational Inequality Perspective on Generative Adversarial Networks

open access: green, 2018
Gauthier Gidel   +4 more
openalex   +2 more sources

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

open access: yesAdvanced Intelligent Systems, EarlyView.
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat   +10 more
wiley   +1 more source

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