Results 71 to 80 of about 44,901 (263)
Nanodiamond Sensing in Dynamic Environments With Fast‐Tracking Through Four‐Point Positioning
A four‐point positioning tracking (4PPT) platform enables fast 3D feedback translational tracking of fluorescent nanodiamonds while simultaneously recording ODMR spectra. By integrating real‐time translational tracking with quantum sensing, mobile nanodiamonds are used for in‐situ nanothermometry, nanorheometry, and 6D translation–rotation tracking in ...
Guoli Zhu +10 more
wiley +1 more source
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum +14 more
wiley +1 more source
Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation
Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo +14 more
wiley +1 more source
In this article, estimation of stress-strength reliability $\delta=P\left ...
Hare Krishna, Madhulika Dube, Renu Garg
doaj +1 more source
Deleted Estimates of the Bayes Risk
Consider the usual decision theoretic situation where one observes a random vector $X$ from which an estimate of its classification $\theta \in \{0, 1\}$ is to be made. If one knows the a priori probabilities for $\theta$ and the conditional densities of $X$ given $\theta$ then the smallest probability of error which can be achieved is called the Bayes
openaire +3 more sources
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
PERBANDINGAN ESTIMASI KEMAMPUAN LATEN ANTARA METODE MAKSIMUM LIKELIHOOD DAN METODE BAYES
Studi ini bertujuan untuk membandingkan ketepatan estimasi kemampuan laten (latent trait) pada model logistik dengan metode maksimum likelihood (ML) gabungan dan bayes.
Heri Retnawati
doaj
This research is related to Item Response Theory (IRT), which is essential for determining the best method for estimating participants' abilities on a test measuring English listening ability.
Faradila Ilena Putri +2 more
doaj +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

