Results 81 to 90 of about 1,669,943 (280)

Imide Substitution Drives the Supramolecular Assembly of Perylene Diimide Into Laterally Modulated Metallic/Semiconducting Molecular Patterns

open access: yesAdvanced Materials Interfaces, EarlyView.
Imide substitution with bulky 2,6‐isopropylphenyl groups induces perylene diimide to self‐assemble on Ag(111) into a monolayer with two coexisting adsorption heights. Molecules closer to the substrate gain metallic character due to charge transfer from the metal, while farther ones remain decoupled and semiconducting.
Giacomo Agnesod   +12 more
wiley   +1 more source

Analysis of the Use of Background Distribution for Naive Bayes Classifiers

open access: yesJournal of Intelligent Systems, 2019
The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel   +2 more
doaj   +1 more source

A Layered Two‐Dimensional Hydrogen‐Bonded Organic Framework Based on 2,5,8,11‐Tetrakis(4‐Carboxyphenyl)Perylene Diimide: Structural Nature, Optical and Photophysical Properties

open access: yesAdvanced Optical Materials, EarlyView.
A novel hydrogen‐bonded organic framework (HOF) based on perylene diimide (PDI) is synthesized, structurally and spectroscopically characterized. Its photophysical behavior highlights how supramolecular organizations govern the optical properties, including emission from monomers, aggregates, and excimer‐like species. Structural transformations induced
Mario de la Hoz Tomás   +9 more
wiley   +1 more source

Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems [PDF]

open access: yes
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the ...
Ciuiu, Daniel
core  

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
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

Deleted Estimates of the Bayes Risk

open access: yesThe Annals of Statistics, 1973
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

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
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

Estimation of Stress Strength Reliability of Inverse Weibull Distribution under Progressive First Failure Censoring

open access: yesAustrian Journal of Statistics, 2018
In this article, estimation of stress-strength reliability $\delta=P\left ...
Hare Krishna, Madhulika Dube, Renu Garg
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
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

Bayes Linear Variance Learning for Mixed Linear Temporal Models [PDF]

open access: yes, 2012
Modelling of complex corroding industrial systems is ritical to effective inspection and maintenance for ssurance of system integrity. Wall thickness and corrosion rate are modelled for multiple dependent corroding omponents, given observations of ...
RANDELL, DAVID
core  

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