Results 141 to 150 of about 118,969 (321)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour   +5 more
wiley   +1 more source

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

Similarity measure and entropy of fuzzy soft sets. [PDF]

open access: yesScientificWorldJournal, 2014
Liu Z, Qin K, Pei Z.
europepmc   +1 more source

Fuzzy Soft Locally Closed Sets in Fuzzy Soft Topological Space

open access: yesJournal of New Theory, 2018
The purpose of this paper is to introduce fuzzysoft locally closed and fuzzy soft b-locally closed sets and study theirproperties in fuzzy soft topological space. Further we define and study fuzzysoft LC-continuous and fuzzy soft b-LC-continuous functions.
VENKATACHALARAO, Sandhya Gandasi   +1 more
openaire   +2 more sources

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

Relationships among tissues, biofluids, and otolith selenium concentrations in wild female burbot (Lota lota)

open access: yesIntegrated Environmental Assessment and Management, EarlyView., 2023
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves   +6 more
wiley   +1 more source

Exploring n-Dimensional Fuzzy Soft Sets: A Framework for Multicriteria Decision-Making Problems

open access: yesAdvances in Fuzzy Systems
This study introduces several operations on n-dimensional fuzzy sets, including union, intersection, and complement, and examines the validity of De Morgan’s law within this framework.
Shifa Mol A. P.   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy