Results 171 to 180 of about 664,760 (268)

Routing Optimization of Cable‐Driven Octopus‐Inspired Manipulators With Minimal Actuation via Genetic Algorithm and Finite Element Method

Advanced Intelligent Systems, EarlyView.
Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve target grasps with fewer actuators. Validated on an octopus‐inspired underwater arm, the approach enables efficient, underactuated soft manipulators for ...
Michele Martini, Emanuele Solfiti, Alessio Mondini, Emanuela Del Dottore, Alberto Parmiggiani, Edoardo Sinibaldi, Barbara Mazzolai   +6 more
wiley   +1 more source

Magnetotelluric forward modeling on fine grid via deep learning with physical information constraints. [PDF]

Sci Rep
Wang K, Yuan C, Zhu H, Xie Z, Huang Q.
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

From LLM to FEM: Low-Rank Adaptation for Noise-Robust Structural Damage Detection. [PDF]

Sensors (Basel)
Kim J, Kang H, Chang S.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Computational design of a 3D magnetic particle imaging (MPI) prototype. [PDF]

AIP Adv
Mostufa S, Rezaei B, Wu K.
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

High Demand Loading Conditions and Their Effect on Polyethylene Stresses in Lumbar Total Joint Replacement: Implications for Spine Wear Protocols. [PDF]

J Orthop Res
Kurtz SM, Rundell SA, Spece H, Siskey RL, Yarbrough RV.   +4 more
europepmc   +1 more source

Semi‐autonomous Navigation of Magnetic Microcarriers for Knee Cartilage Regeneration

Advanced Intelligent Systems, EarlyView.
Autonomous navigation of magnetic microcarriers in complex 3D environments is investigated through a semi‐autonomous strategy integrating magnetic actuation with monocular visual feedback. Real‐time global tracking is achieved via radio‐frequency‐based localization and depth estimation, while model‐based computation determines optimal steering forces ...
Kim Tien Nguyen, Cuong Manh Hoang, Jong‐Oh Park, Jayoung Kim   +3 more
wiley   +1 more source

Proceso de Bolonia (II): educación centrada en el que aprende

Educación Médica
J. Prat-Corominas, J. Palés-Argullós, M. Nolla-Domenjó, A. Oriol-Bosch, A. Gual   +4 more
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