Results 81 to 90 of about 225,085 (221)

Facial expression synthesis based on motion patterns learned from face database

2010 IEEE International Conference on Image Processing, 2010
Jia Jia, Shen Zhang, Lianhong Cai
semanticscholar   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Expression synthesis in process networks generated by LAURA

IEEE International Conference on Application-Specific Systems, Architectures, and Processors, 2005
Claudiu Zissulescu, B. Kienhuis, E. Deprettere   +2 more
semanticscholar   +1 more source

Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor

Advanced Intelligent Systems, EarlyView.
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura, Marcela R. Machado, Tanmoy Mukhopadhyay   +2 more
wiley   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley   +1 more source

A Review of Trans‐Dimensional Kirigami: From Compliant Mechanism to Multifunctional Robot

Advanced Intelligent Systems, EarlyView.
This review outlines recent advancements in the geometric design and mechanical properties of kirigami. The kirigami is classified into two categories from a compliant mechanism perspective, highlighting their applications in metamaterials and robotic systems. Finally, the future research directions, is explored focusing on the potential of integrating
Yang Yu, Jinyao Zhang, Dengchen Wang, Yanqi Yin, Yehui Wu, Ruiyu Bai, Jiaqiang Yao, Yupei Zhang, Jingwen Yin, Chao Tang, Alexey S. Fomin, Wenjie Sun, Chen Liu, Bo Li, Guimin Chen   +14 more
wiley   +1 more source

Parametric Facial Expression Synthesis and Animation

, 2010
N. Patel, M. Zaveri
semanticscholar   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source