Results 41 to 50 of about 112,252 (298)
Fuzzy image segmentation of generic shaped clusters [PDF]
The segmentation performance of any clustering algorithm is very sensitive to the features in an image, which ultimately restricts their generalisation capability.
Ali, M. A. +2 more
core +1 more source
Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter +4 more
wiley +1 more source
Digital Medical Image Segmentation Using Fuzzy C-Means Clustering
In the modern globe, digital medical image processing is a major branch to study in the fields of medical and information technology. Every medical field relies on digital medical imaging in diagnosis for most of their cases.
Bakhtyar Ahmed Mohammed +1 more
doaj +1 more source
3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley +1 more source
Defect Analysis of the β– to γ–Ga2O3 Phase Transition
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas +9 more
wiley +1 more source
Fuzzy C-Means Clustering Algorithm with Multiple Fuzzification Coefficients
Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common clustering ...
Tran Dinh Khang +3 more
doaj +1 more source
Image segmentation using fuzzy clustering incorporating spatial information [PDF]
Effective image segmentation cannot be achieved for a fuzzy clustering algorithm based on using only pixel intensity, pixel locations or a combination of the two.
Ali, Ameer +2 more
core
Hierarchically Structured Fuzzy c-Means Clustering
Fuzzy c-means clustering is a useful method for capturing group-level heterogeneity of objects. This method estimates cluster centroids and fuzzy memberships simultaneously. A potential limitation of fuzzy c-means is that it may fail to detect clusters of different sizes. To address this difficulty, we propose an extension of FCM, called hierarchically
Hye Won Suk, Ji Yeh Choi, Heungsun Hwang
openaire +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm
With the rapid development of information technology and the advancement of medical informatization, medical big data plays an increasingly important role in diagnosis, treatment, health management, and other aspects.
Xiaoliang Zhang, Tianwei Guo
doaj +1 more source

