Results 81 to 90 of about 58,601 (260)
Advanced Materials Technologies, EarlyView.Direct nanoscratching with a 500 nm diamond lapping film creates groove‐guided liquid‐crystal alignment interfaces on PCB‐compatible Cu‐patterned RF substrates within minutes, eliminating polymer coating and high‐temperature baking. The coating‐free process enables optical/molecular alignment validation and voltage‐programmable 28 GHz reflection‐phase ...
Junseok Ma +5 more
wiley +1 more source
Similarity-Driven Fine-Tuning Methods for Regularization Parameter Optimization in PET Image Reconstruction. [PDF]
Sensors (Basel), 2023 Zhu W, Lee SJ.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Journal of Computational and Applied Mathematics, 2013 AbstractIn this paper we present a simple modification of the Method of Regularized Stokeslets, which significantly reduces the dependence of the accuracy on the regularization parameter and achieves accurate solutions with low computational effort. Thanks to the modification introduced, the regularization parameter is no longer a free-tuning parameter.
openaire +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
3-D inversion of magnetic data based on the L1–L2 norm regularization
Earth, Planets and Space, 2019 Magnetic inversion is one of the popular methods to obtain information about the subsurface structure. However, many of the conventional methods have a serious problem, that is, the linear equations to be solved become ill-posed, under-determined, and ...
Mitsuru Utsugi
doaj +1 more source
IMAGE REGISTRATION WITH OPTIMAL REGULARIZATION PARAMETER SELECTION BY LEARNED AUTO ENCODER FEATURES. [PDF]
Proc IEEE Int Symp Biomed Imaging, 2021 Akossi A, Wang F, Teodoro G, Kong J.
europepmc +1 more source
Bounding the parameter β of a distance-regular graph with classical parameters
Journal of Combinatorial Theory, Series ALet $Γ$ be a distance-regular graph with classical parameters $(D, b, α, β)$ satisfying $b\geq 2$ and $D\geq 3$. Let $r=1+b+b^2+\cdots+b^{D-1}$. In 1999, K. Metsch showed that there exists a positive constant $C(α,b)$ only depending on $α$ and $b$, such that if $β\geq C(α, b)r^2$, then either $Γ$ is a Grassmann graph or a bilinear forms graph. In this
Chenhui Lv, Jack H. Koolen
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Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source