Results 81 to 90 of about 1,436 (179)

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Advanced Numerical Modeling of Powder Bed Fusion: From Physics-Based Simulations to AI-Augmented Digital Twins. [PDF]

Materials (Basel)
Łach Ł, Svyetlichnyy D.
europepmc   +1 more source

OriGrasp: A Multifunctional Origami‐Inspired Instrument for Delicate Manipulation in Abdominal Surgery

Advanced Intelligent Systems, EarlyView.
This paper introduces an origami‐inspired, lightweight, reconfigurable instrument for robot‐assisted minimally invasive surgery. Its foldable design enables tiny access, tunable compliance, and multifunctionality, serving as a tool introducer or deformable grasper that safely manipulates delicate bowel tissue.
Lorenzo Mocellin, Niccolò Pagliarani, Giulia Gamberini, Gastone Ciuti, Matteo Cianchetti, Arianna Menciassi   +5 more
wiley   +1 more source

Lightweight scalable deep learning framework for real time detection of potato leaf diseases. [PDF]

Sci Rep
Bhavani GD, Chalapathi MMV.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Data-driven discovery of digital twins in biomedical research. [PDF]

Brief Bioinform
Métayer C, Ballesta A, Martinelli J.
europepmc   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

Advanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese, Ignacio Tabares, Wei Wang, Marcos Soldera, Andrés Fabián Lasagni   +4 more
wiley   +1 more source

Personalized Smart Home Automation Using Machine Learning: Predicting User Activities. [PDF]

Sensors (Basel)
Gad MM, Gad W, Abdelkader T, Naik K.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

A foundation model-driven multi-view collaborative framework for semi-supervised 3D medical image segmentation. [PDF]

Front Med (Lausanne)
Li L, Wang B, Zhang H.
europepmc   +1 more source