Results 71 to 80 of about 5,430,154 (277)

Matrix formulation of fuzzy rule-based systems [PDF]

open access: yes, 1996
In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core  

Post Human Craft [PDF]

open access: yes, 2020
Nearing the end of the second decade of the twenty-first century many craftspeople and makers are waking up to the inevitable reality that our next human evolution may not be the same, that this time it could be different.
James Stevens, Stevens, James
core   +1 more source

Microfluidic Gratings for X‐Ray Phase Contrast Imaging

open access: yesAdvanced Science, EarlyView.
This work establishes a new protocol for the fabrication of X‐ray gratings that exploits the advantages of microfluidics and enables a more inexpensive, faster, and scalable production process. These X‐ray devices are fundamental for implementing X‐ray phase contrast imaging (XPCI) in laboratory and clinical settings, yet their costly and complex ...
Alessandro Rossi   +10 more
wiley   +1 more source

Implementing imperfect information in fuzzy databases [PDF]

open access: yes, 2005
Information in real-world applications is often vague, imprecise and uncertain. Ignoring the inherent imperfect nature of real-world will undoubtedly introduce some deformation of human perception of real-world and may eliminate several substantial ...
Naija, Y.   +5 more
core  

Impact of Rapid Thermal Annealing on the Structural and Piezoelectric Properties of AlN Thin Films

open access: yesAdvanced Electronic Materials, EarlyView.
Aluminum nitride (AlN) is a biocompatible piezoelectric material suitable for energy harvesting in MEMS resonators. Through rapid thermal annealing, a threshold for CMOS‐compatible processes is established. AlN improved its crystallinity and enhanced the piezoelectric coefficient by ∼160%. Devices show an improvement in the electromechanical properties
Laura Mazón‐Maldonado   +7 more
wiley   +1 more source

Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]

open access: yes, 2007
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen   +5 more
core   +3 more sources

Gender in Design [PDF]

open access: yes, 2020
This issue of CUBIC Journal continues exploring what we find an extremely important and complex topic. We sought diverse contributions from a wide range of design sectors and aimed at presenting contributions that reposition design and design research ...
Hanna Wirman   +5 more
core   +1 more source

New operations on cubic intuitionistic fuzzy sets under P–order

open access: yesJournal of Fuzzy Extension and Applications
Cubic intuitionistic fuzzy sets have the efficiency to handle hybrid information, which combines interval-valued intuitionistic fuzzy sets and intuitionistic fuzzy sets. The aim is to define operators on cubic intuitionistic fuzzy sets that are capable of more effectively handling uncertain or imprecise information contained in image data.
M, Priyadharshini   +2 more
openaire   +2 more sources

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula   +10 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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