Results 151 to 160 of about 3,277 (309)

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Teaching affixation through reading to learn to improve student’s reading comprehension

open access: yes
Reading is an important receptive skill in learning a new language, as comprehension involves extracting and constructing meaning. This process allows readers to form mental representations by visualizing words and understanding meaning in context. While
Paternina Barba Paula Andrea   +1 more
core   +1 more source

A Multimodal Laser‐Induced Graphene‐Based Flexible Sensor for Soft Robotic Hand Environmental Perception

open access: yesAdvanced Intelligent Systems, EarlyView.
A multimodal laser‐induced graphene (LIG)‐based flexible sensor is developed to detect proximity and contact signals. Integrated into a soft robotic hand, it enables vision‐free object searching and grasping. Combined with a convolutional neural network, the system achieves accurate material and texture recognition, enhancing the capability of ...
Youning Duo   +9 more
wiley   +1 more source

Affixation and word-composition in modern english

open access: yes, 2014
Word-formation concerns the process of creating complex words of the smallest meaningful units. Word-formation can be distributed through affixation, derivation and compounding. Compounding, being the most productive mean of creating new words in English,
Чумак Л. М.
core  

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

open access: yesAdvanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov   +8 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

EnhaEnhanced affixation word stemmer with stemming error reducer to solve affxation stemming errorsnced affixation word stemmer with stemming error reducer to solve affxation stemming errors

open access: yes, 2016
Word stemming algorithm (or word stemmer) is an important preprocessing component in the information retrieval and text categorization that aims to reduce derived words to their respective root words.
Farah Nadhirah
core  

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