Results 51 to 60 of about 37,180 (297)
X-Shaped Structure-Based Modeling and Control for a Stable Platform with a Series Elastic Actuator
Stable platforms are widely used in many fields to keep the environment stable for the load under the influence of the motion of the craft and other carriers. However, its stability has always been an important and serious challenge for researchers.
Ai Teng +4 more
doaj +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Visual Appearance-Based Unmanned Vehicle Sequential Localization
Localizationis of vital importance for an unmanned vehicle to drive on the road. Most of the existing algorithms are based on laser range finders, inertial equipment, artificial landmarks, distributing sensors or global positioning system(GPS ...
Wei Liu +4 more
doaj +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
An Objective Evaluation Method for Image Restoration
Accurate image restoration is of paramount importance for low-level vision, computer vision, and various other fields. Numerous complex restoration algorithms have been stated in the literature.
A. Lakshmi, Subrata Rakshit
doaj +1 more source
Multi-Reception and Multi-Gradient Discriminator for Image Inpainting
Many deep learning methods for image inpainting rely on the encoder-decoder architecture to estimate missing contents. When guidance information from uncorrupted regions cannot be adequately represented or utilized, the encoder may have difficulty ...
Wenli Huang +3 more
doaj +1 more source
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
Airo 2019 artificial intelligence and robotics
The goal of the Italian workshop series on Artificial Intelligence and RObotics(AIRO) is to present, discuss and assess recent advances in the deployment ofArtificial Intelligence (AI) methods in Robotics.
Castellini Alberto +3 more
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The ethical implications of developing and using artificial intelligence and robotics in the civilian and military spheres [PDF]
Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the ...
Ulgen, Ozlem
core

