Results 101 to 110 of about 2,435 (235)
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials. [PDF]
Zhao Z +6 more
europepmc +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Radiofrequency amplification by stimulated emission of radiation (RASER) of solutes was achieved via parahydrogen‐induced polarization (PHIP) and polarization transfer from the produced hyperpolarization donors to solutes via the intermolecular nuclear Overhauser effect (NOE).
Ivan A. Trofimov +8 more
wiley +2 more sources
A robust semi-fragile watermarking system using Pseudo-Zernike moments and dual tree complex wavelet transform for social media content authentication. [PDF]
Agilandeeswari L +2 more
europepmc +1 more source
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
A Proposal for Homoskedastic Modeling With Conditional Auto-Regressive Distributions. [PDF]
Martinez-Beneito MA +3 more
europepmc +1 more source
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]
Dharma C +6 more
europepmc +1 more source
Fast Constant-Time Modular Inversion over Fp Resistant to Simple Power Analysis Attacks for IoT Applications. [PDF]
Sghaier A +5 more
europepmc +1 more source

