Results 151 to 160 of about 6,153,272 (290)

Hesitant fuzzy soft sets

open access: yesJournal of New Results in Science, 2013
– A new hybrid structure- hesitant fuzzy soft set, involving soft set is introduced. Soft set is relatively a new approach initiated by Molodtsov in 1999 to deal impreciseness and uncertainty.
K. V. Babitha, Sunil Jacob John
doaj  

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski   +5 more
wiley   +1 more source

RESULTS ON INTUITIONISTIC FUZZY SOFT MULTI SETS AND IT’S APPLICATION IN INFORMATION SYSTEM

open access: yesJournal of New Theory, 2016
In this paper, we review some operations in intuitionistic fuzzy soft multi set theory in different approach and show that the De Morgan’s types of results hold in intuitionistic fuzzy soft multi set theory for these operations in our way.
Anjan Mukherjee, Ajoy Kanti Das
doaj  

Fuzzy soft -hemirings

open access: yes, 2014
Maji et al. (2001) introduced the concept of a fuzzy soft set, which is an extension to the concept of a soft set. The concepts of -fuzzy soft left -ideals (right -ideals, -interior-ideals) in -hemirings are introduced. Some new characterization theorems
XUELING MA, JIANMING ZHAN
core  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

Bijective Interval-Valued Fuzzy Soft Set with Its Operations

open access: yes, 2020
. Bijective soft set is a valid approach for data mining and data analysis. This paper extends the notion to interval-valued fuzzy soft set, which can deal with more uncertain problems.
Ke Gong, Panpan Wang, Zhihui Qi
core  

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu   +6 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti   +6 more
wiley   +1 more source

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